AI Jobs

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Experience Requirements:

• 5+ years of experience in semiconductor functional safety

Other Requirements:

• ISO 26262

• SOTIF

• ISO/SAE 21434

• HARA

• FMEDA

Responsibilities:

• Define ISO 26262-compliant safety architecture

• Integrate fault-tolerant safety mechanisms into RTL

• Lead HARA, FMEDA, FTA, and DFA across hardware

• Develop and validate technical safety concepts

• Act as technical lead in partner and customer engagements

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Education Requirements:

• MS/PhD in CE/EE/CS

Experience Requirements:

• expertise in CPU design, analysis, and modeling

Other Requirements:

• RISC-V

• ARM

• gem5

• Verilog

• SystemVerilog

Responsibilities:

• Research, design, and evaluate CPU microarchitectural components

• Build and validate performance/functional models

• Develop architectural extensions within RISC-V

• Propose and prototype new mechanisms for efficiency

• Work with hardware, compiler, and system teams

Benefits:

• Unique opportunity to join a scaling company

• Competitive salary

• Equity, bonuses, and stock options

• Flexible schedule - Intensive Fridays

• Medical & Dental Insurance

Education Requirements:

• Minimum MSc in Computer Science, Mathematics, Statistics, or Advanced Analytics

Experience Requirements:

• 4+ years in a similar customer-facing position

• Solid experience with Python

• Comfortable with ML libraries (pandas, scikit-learn, TensorFlow, Keras)

• Experience with relational and NoSQL databases

Other Requirements:

• Proficient in spoken and written English

• Willingness to travel

• Strong analytical and creative problem-solving skills

• Commitment to quality

Responsibilities:

• Lead data analyses to solve business problems

• Assist in training and fine-tuning Machine Learning models

• Identify bottlenecks in ETL pipelines

• Contribute to SaaS life cycle using Agile methodologies

• Help validate algorithm implementations

Education Requirements:

• PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision.

Experience Requirements:

• 3 years of experience in applied research focused on robotic manipulation or robot learning.

• Proficiency in programming with Python and C++.

• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.

• Experience developing algorithms for vision-based manipulation or contact-rich interaction.

• Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).

Other Requirements:

• Experience with reinforcement learning or imitation learning for robotics.

• Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo.

• Experience integrating tactile sensors with visual perception systems.

• Experience in LfD (Learning from Demonstrations), kinesthetic learning.

• Background in sim-to-real transfer techniques for manipulation policies.

Responsibilities:

• Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios.

• Design algorithms that enable robots to manipulate complex or deformable objects with high precision.

• Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware.

• Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability.

• Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems.

Benefits:

• Equity

Education Requirements:

• PhD or equivalent research experience in machine learning, mathematics, or related field

Experience Requirements:

• Strong understanding of quantization, model optimization, and numerical methods

• Proficiency in Python and PyTorch

Other Requirements:

• Research mindset: curiosity, rigor

Responsibilities:

• Research and develop novel analog-aware quantization methods

• Design mathematically principled matrix-vector multiplication algorithms

• Collaborate with analog hardware engineers to define algorithmic requirements

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Visa sponsorship

• 3-4x all expenses paid company retreats

• Whatever equipment you need

Education Requirements:

• Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program)

Experience Requirements:

• Prior experience conducting original research

• Authorship or co-authorship on ML papers

• Strong understanding of deep learning fundamentals

• Experience working with PyTorch, JAX, or TensorFlow

Other Requirements:

• Self-directed, curious, and able to thrive in an environment with high autonomy

• Excellent written and verbal communication skills

• Research experience in distributed systems, continual learning, or modular neural architectures

• Experience at the intersection of cryptography and machine learning

Responsibilities:

• Contribute to original research in deep learning (modular architectures, verifiability, etc.)

• Design and prototype novel neural network architectures for decentralized compute environments

• Contribute to joint publications and projects for top-tier AI venues like NeurIPS, ICML, and ICLR

Benefits:

• Daily drinks, snacks and catered meals

• Regularly scheduled team building activities

Education Requirements:

• Pursuing PhD degree in Computer Science, Engineering, AI, ML, or related field

Experience Requirements:

• Demonstrated research/software engineering experience

• At least one publication in top ML, CV, or Robotics conferences

Other Requirements:

• Strong quantitative background

• Proficient in Python and/or C++

• Submission of academic transcripts required

Responsibilities:

• Lead or Contribute to an AI research project

• Design, implement, train, and optimize novel algorithms

• Submit and publish work externally at top conferences

Benefits:

• Daily drinks, snacks and catered meals

• Regularly scheduled team building activities

Education Requirements:

• Bachelors or MS/PhD degree in Computer Science, Engineering, AI, or related field

Experience Requirements:

• Demonstrated research/software engineering experience

Other Requirements:

• Strong quantitative background

• Proficient in Python and/or C++

• Submission of academic transcripts required

Responsibilities:

• Lead or Contribute to an AI research project

• Design, implement, train, and optimize novel algorithms

• Submit and publish work externally at top conferences

• Release open source projects

Experience Requirements:

• Strong technical aptitude

• Experience in data operations, analysis, or workflow optimization

• Familiarity with operational processes

• High attention to detail in managing data quality

Other Requirements:

• Ability to work independently in a remote environment

• Mindset focused on efficiency improvement

• Ability to interpret and communicate data-driven insights

Responsibilities:

• Design and manage data workflows for annotation

• Establish and monitor KPIs for data quality

• Analyze datasets to generate actionable insights

• Collaborate cross-functionally for business objectives

• Develop and maintain reporting frameworks

Benefits:

• competitive salaries

• equity stakes

• health coverage

• paid time off

• cutting-edge work facilities

Education Requirements:

• Ph.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background

Experience Requirements:

• 5+ years of hands-on experience implementing and deploying robotic manipulation tasks

• 5+ years of practical experience applying RL and/or IL methods

• 4+ years experience in developing and optimizing large-batch parallel simulations

• Proven expertise in continual learning

• Proven expertise in sim-to-real transfer

Other Requirements:

• Development with Python 3.8 or later

• Working knowledge of PyTorch and/or TensorFlow

• Familiarity with ROS2

• Track record of publishing research in AI conferences (ICRA, IROS, CORL)

Responsibilities:

• Create, develop, and enhance cutting-edge RL and IL algorithms

• Stay current with the latest developments in RL/IL techniques

• Identify, communicate, and lead research initiatives

• Enhance current RL/IL learning processes (efficiency, speed, scalability)

• Devise RL/IL training and data collection pipelines

Benefits:

• competitive salaries

• equity stakes

• health coverage

• paid time off

• cutting-edge work facilities

Education Requirements:

• Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field

Experience Requirements:

• Experience implementing RL and IL methods focused on computer vision or robotics

• Hands-on experience integrating ML models onto a robotics platform

• Experience implementing and deploying robotic manipulation tasks

• Experience taking ML R&D into production

• Experience with computer vision systems

Other Requirements:

• Development with Python 3.6 or later

• Working knowledge of PyTorch and/or JAX

• Familiarity with ROS2

Responsibilities:

• Design, implement, and improve RL and IL algorithms

• Keep up to date with state-of-the-art RL/IL methodologies

• Identify, communicate, and drive promising research directions

• Improve existing implementations regarding sample efficiency and scalability

• Design RL/IL training and data-collection pipelines

Benefits:

• Health care plan: Alan (50% employer)

• Luncheon voucher: 9€ (50% employer)

• Transport: 50% pass or sustainable mobility pass

• Stock option (BSPCEs)

• Regular team events

Education Requirements:

• Master's degree in Biostatistics, Statistics, Data Science, or related field (Ph.D. preferred)

Experience Requirements:

• Proven experience in Real-World Evidence (RWE) and Advanced Survival Analysis

• Experience working with large-scale administrative claims databases (SNDS/PMSI)

Other Requirements:

• Expert-level skills in SQL and R or Python

• Ability to design and draft formal SAP and SAR

• Fluent in both English and French

• Strong sense of responsibility and rigor

Responsibilities:

• Lead the end-to-end biostatistical process from SAP to SAR

• Execute robust statistical analyses on longitudinal datasets

• Evaluate clinical and healthcare resource utilization metrics

• Provide statistical foundation for peer-reviewed publications

• Collaborate with the Data Science team

Benefits:

• Employee Resource Groups (ERG)

• Paid volunteer time

• Reduction of working time (RTT)

• Flexible work options (home/office)

Experience Requirements:

• 5+ year experience minimum in manufacturing/supply chain functions

• 3+ years of experience with Python

Other Requirements:

• Track record of scoping and managing data-science projects

• Experience developing WebApps (Javascript, Dash or RShiny)

• Ability to work in a global, distributed team

• Knowledge of Agentic AI, Generative AI, or knowledge graphs is a plus

Responsibilities:

• Build a strong Solutions roadmap for Manufacturing and Supply Chain

• Own the building and delivery of solutions from ideation to packaging

• Participate in the initial roll-out of Solutions (demos, implementation)

• Act as a go-to-person on Data Science Manufacturing and Supply Chain

• Support overall solutions engineering roadmap and technical research

Experience Requirements:

• 3-6 years of experience in data analysis, business process analysis, or task mining

Other Requirements:

• Strong proficiency in SQL and Python/Pandas

• Ability to handle large data sets and structured/semi-structured event data

• Familiarity with ML techniques such as clustering or sequence alignment

Responsibilities:

• Build insightful analytics and dashboards for interaction datasets

• Build reproducible data pipelines for processing event data

• Create modular, well-structured scripts for analytics

• Create high-quality visualizations for business themes

Benefits:

• Learning & Upskilling reimbursement

• Weekly Friday Treats

• Friday Fun & Wellness sessions

• Quarterly Team Outings

Other Requirements:

• Strong analytical and problem-solving skills

• Familiarity with statistical techniques

• Experience analyzing structured/unstructured data

• Basic knowledge of data visualization tools (Excel, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Explore and analyze large conversational datasets to identify patterns

• Perform correlation and statistical analysis to uncover insights

• Assist in the development of data labs reports with recommendations

• Collaborate with cross-functional teams to interpret analytical results

• Support data visualization efforts and create presentations for stakeholders

Benefits:

• Collaborative research environment

Education Requirements:

• PhD in Computer Science, AI, or a related field

Experience Requirements:

• Publication record in top-tier ML conferences

• Understanding of deep learning and NLP

• Experience with JAX, TensorFlow, or PyTorch

Other Requirements:

• Strong programming skills in Python

• Experience with LLMs or assistive AI agents

Responsibilities:

• Design and evaluate software prototypes

• Push boundary of state of the art RL methods

• Present research findings

• Engage in team collaborations

• Ensure advances are developed ethically

Benefits:

• Competitive compensation and rewards

• Opportunity to grow with a young company

Education Requirements:

• PhD/MS/bachelor’s degree in Mathematics, Computer Vision, Computer Science

Experience Requirements:

• 3-8 Years

• Team handling and mentoring experience

Other Requirements:

• Excellent skills in Machine Learning and Deep Learning

• Broader domain of statistics

• Implementation experience with a variety of high-level languages

• Detail-oriented

Responsibilities:

• Optimize deep learning models for deployment across platforms

• Apply scientific rigor to create analytical and clinical evidence

• Assist in AI Deployment, optimization, maintenance and testing

• Involve in the submission of papers

• Ideate and develop novel technical advances

Benefits:

• Health Insurance

• GYM Membership

• Professional Development opportunities

• Startup Environment agility

• Work with latest AI agents and LLMs

Experience Requirements:

• 2+ years building deep learning systems (industry or academia)

• Strong fundamentals in representation learning and generative modeling

• Hands-on experience with Transformers/LLM-style training or audio generation

• Excellent Python + PyTorch skills

• Research-to-production mindset focused on speed and latency

Other Requirements:

• Prior work in TTS, voice conversion, or ASR is a plus

• Experience with discrete audio modeling (codecs, VQ) is a plus

Responsibilities:

• Run end-to-end research cycles from ideas to experiments

• Design and improve generative speech models for streaming/high-quality cases

• Create strong objective and human/perceptual evaluations

• Collaborate with ML/infra/engineering to deploy research into APIs

• Communicate research conclusions and strategy clearly

Benefits:

• competitive compensation

• startup equity

• health insurance

Education Requirements:

• Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.

Experience Requirements:

• 3+ years of experience working on ML systems, large-scale model training, inference, or adjacent areas.

• Demonstrated experience owning complex technical projects end-to-end.

Other Requirements:

• Strong expertise in Systems-first profile, RL-first profile, or Model architecture design.

• Comfortable working from algorithms to engines.

• Solid research foundation in area(s) of depth.

• Strong coding ability in Python.

Responsibilities:

• Advance inference efficiency end-to-end

• Unify inference with RL / post-training

• Own critical systems at production scale

• Provide technical leadership (Staff level)