Analyzing and evaluating hardware architectures Supporting tests of electronic prototypes Developing circuit diagrams and layouts for microcontrollers, power supplies, output stages, and CAN/Ethernet interfaces Using AI-based tools to automate review processes Programming microcontrollers

You will have the opportunity to gain practical experience in modern development processes for vehicle control systems and electronics. You will be part of a team that works on high-innovative projects in the areas of e-mobility, ADAS/AD, and software development.

AVL offers a dynamic and innovative work environment with opportunities for professional growth and development. We offer a competitive salary and benefits package, as well as a wide range of training and development programs.

If you are interested in working in a fast-paced and dynamic environment, and are looking for a challenging and rewarding career opportunity, we encourage you to apply for this position.

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Dynamic and innovative work environment
• Wide range of training and development programs
• Mobile work options, flexible working hours, and modern working conditions

We are an equal opportunities employer and welcome applications from all qualified candidates.

Please note that this is a temporary position, and the duration of the contract will be discussed during the interview process.

Required skills:

• Bachelor's degree in electrical engineering, mechatronics, or a related field
• Good knowledge of control electronics and related components
• Analytical thinking and problem-solving skills
• Excellent communication and teamwork skills
• Proficiency in programming languages such as C, C++, or Python
• Experience with AI-based tools and machine learning algorithms

Preferred skills:

• Experience with embedded systems and microcontrollers
• Knowledge of automotive electronics and systems
• Familiarity with simulation tools and modeling software
• Experience with version control systems such as Git
• Certification in areas such as automotive electronics, control systems, or software development

If you are interested in this position, please submit your application, including your resume, cover letter, and any relevant certificates or references. We look forward to hearing from you!

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Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions.

You will create models and develop software to accelerate discovery of critical battery metals.

You will join an outstanding team of data scientists and engineers and work closely with (*applicant's) world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits.

Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems.

As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities:

• Help develop KoBold's proprietary software exploration tools.
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

Qualifications:

• Technical skills, including extensive experience with Python's data science packages and general software engineering practices.
• Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
• Cloud computing resources.
• Building predictive models, applying them to different problems, and evaluating and interpreting the results.
• Data from a variety of physical systems.
• Geospatial analyses and visualizations.

Technical knowledge:

• Broad skills in and knowledge of applied statistics and Bayesian inference.
• Substantial understanding of machine learning algorithms.

Training and work experience:

• An advanced degree in the physical sciences, engineering, computer science, or mathematics.
• A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
• Experience leading technical teams to apply novel scientific approaches to core business problems.

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Ability to explain technical problems to and collaborate on solutions with domain experts.
• Communicates well on a collaborative, cross-functional team.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
• Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.

Preferred skills include creating machine learning models on geospatial data, geostatistics, image processing or computer vision, and distributed computing applications for machine learning and other computations.

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You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities:

• Help develop KoBold's proprietary software exploration tools.
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 3 to 6 months. We are open to CIFRE programs as a continuation after the internship.

Responsibilities

• Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers.

• Collaborate with researchers, AI engineers, and product engineers on complex customer projects.

• Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.

How We Work in Applied AI

• We care about people and outputs.

• What matters is what you ship, not the time you spend on it.

• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.

• Always ask why. The best solutions come from deep understanding, not from copying what worked before.

• We say what we mean. Feedback is direct, timely, and given because we care.

• No politics. Low ego, high standards.

• We embrace an unstructured environment and find joy in it.

About You

• You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university.

• You have strong programming skills in Python.

• You are familiar with machine learning algorithms and natural language processing techniques.

• You hold basic understanding of MLOps and deploying machine learning use cases.

• You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Ideally You Have:

• Experience with deep learning frameworks such as PyTorch.

• Familiarity with version control systems (e.g., Git) and Linux shell environment.

• Experience working in HPC Environments.

• Publication record in AI or a related field.

Benefits

• Competitive salary

• Food: Daily lunch vouchers

• Sport: Monthly contribution to a Gympass subscription

• Transportation: Monthly contribution to a mobility pass

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The role will involve working closely with the technical and business teams to deliver marketing-oriented AI cases, integrating business requirements into a relevant activation strategy. The consultant will also be responsible for analysing data for clients, responding to digital activity management issues using key performance indicators, and participating in the development of Fifty-Five's data science offer.

The ideal candidate will have a degree in engineering or a related field, with at least 2 years of experience in data consulting. They will have strong knowledge of Microsoft Office, a strong analytical mindset, excellent communication skills, and a commercial spirit.

The company offers a range of benefits, including a competitive salary, a 10-euro daily meal ticket, 50% transport costs, a flexible work-life balance, and a modern and stimulating work environment.

Fifty-Five is committed to diversity and inclusion, and welcomes applications from all candidates, regardless of their background, age, gender, or disability.

The company is part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.

The role is based in Paris, with the opportunity to work on a global scale. The company is looking for a senior data consultant to join its team, with a competitive salary and a range of benefits.

If you are a senior data consultant looking for a new challenge, please apply now.

Responsibilities:

• Promote data science and data processing to support digital marketing
• Follow a project plan with different milestones
• Ensure data quality and accuracy
• Deliver high-quality results to clients
• Work closely with technical and business teams to deliver marketing-oriented AI cases
• Integrate business requirements into a relevant activation strategy
• Analyse data for clients
• Respond to digital activity management issues using key performance indicators
• Participate in the development of Fifty-Five's data science offer

Requirements:

• Degree in engineering or a related field
• At least 2 years of experience in data consulting
• Strong knowledge of Microsoft Office
• Strong analytical mindset
• Excellent communication skills
• Commercial spirit

Preferred skills:

• Strong knowledge of Python
• Experience with data visualisation tools
• Knowledge of machine learning algorithms
• Experience with data warehousing and business intelligence tools

Benefits:

• Competitive salary
• 10-euro daily meal ticket
• 50% transport costs
• Flexible work-life balance
• Modern and stimulating work environment

Company culture:

• Fifty-Five is committed to diversity and inclusion
• Welcomes applications from all candidates, regardless of their background, age, gender, or disability
• Part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention

Location:

• Paris, France

Type of contract:

• Full-time

Salary:

• Competitive salary

Workplace type:

• On-site

Category:

• Data science

Industry:

• Technology

Salary range:

• Competitive salary

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Our services include data platform implementation, data governance, data analytics, and more. We work with brands to help them become omnicanal organisations that can effectively manage their digital ecosystem and its synergies with the physical world.

We are based in Paris and operate across three time zones from our 10 offices in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore and New York. We prioritise the well-being of our employees, which has enabled us to be ranked as one of the best workplaces in France in 2018.

We are looking for a Data & Cloud Technical Project Manager to join our team. The successful candidate will be responsible for managing technical projects and teams, ensuring the successful delivery of projects within agreed timelines and budgets.

Key responsibilities:

• Manage technical projects and teams, ensuring the successful delivery of projects within agreed timelines and budgets
• Lead technical teams and ensure the development of technical skills and expertise
• Collaborate with data science teams to develop advanced use cases for clients
• Develop and implement data governance frameworks for clients
• Ensure the quality and accuracy of data and analytics
• Collaborate with clients to understand their needs and develop solutions
• Manage client relationships and ensure client satisfaction

Requirements:

• 6-8 years of experience in a technical consulting role
• Experience in managing technical projects and teams
• Strong technical skills, including data analytics, data governance and cloud computing
• Excellent communication and presentation skills
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Strong problem-solving skills and ability to think critically
• Experience working with clients and developing solutions to meet their needs

Preferred qualifications:

• Experience working with data platforms and data governance frameworks
• Experience working with cloud computing platforms, including Google Cloud, Amazon Web Services and Microsoft Azure
• Experience working with data analytics tools, including Google Data Studio and Tableau
• Experience working with data science tools, including Python and R
• Experience working with machine learning algorithms and models

We offer a competitive salary and benefits package, including a comprehensive health insurance plan, a 401(k) matching program and a generous paid time off policy. We also offer a dynamic and supportive work environment, with opportunities for professional growth and development.

If you are a motivated and experienced technical professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

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Microsoft AI are looking for a talented Data Research Engineer to join their MAI Superintelligence Team in London. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets to assess their impact, and developing and maintaining scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation. You will also analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.

Accountabilities

• Create high-quality datasets for training and evaluation
• Run experiments on new datasets to assess their impact and determine the most effective data
• Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation

The Candidate we're looking for

Experience:

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field
• Technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

Technical skills:

• Proficiency in statistics and exploratory data analysis methods
• Familiarity with data processing frameworks such as Spark, Ray, Apache Beam

Personal attributes:

• Ability to communicate technical findings effectively to research and product teams

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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What you'll do

• Create and optimise toolpaths for our cutting-edge machines
• Collaborate with our engineering team to ensure that toolpaths meet the required specifications
• Troubleshoot any issues that arise during the toolpath creation process

What you need

• Strong understanding of CAD software
• Excellent problem-solving skills
• Ability to work well under pressure

Why this matters

As a Toolpath Programmer, you will play a critical role in ensuring that our machines are running efficiently and effectively. Your work will have a direct impact on the success of our racing team, and you will be part of a dynamic and innovative team that is always pushing the boundaries of what is possible.

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