Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Generative Modeling, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on marginal, conditional, and joint prediction

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Foundation Modeling, Perception / Behavior, Computer Vision

Other Requirements:

• Deep knowledge of Autonomous Driving

• Experience with sensor and behavior simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel end-to-end algorithms for Autonomy Stack

• Conduct research on foundation models for driving

• Develop robust, interpretable, and explainable Autonomous Driving models

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Mapping, Perception / Computer Vision

Other Requirements:

• Deep knowledge of ML Mapping

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Work on the Offline and Online Mapping Research tracks

• Define the business metrics for Mapping assessment

• Continuously adjust the optimal Mapping feature format

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Uncertainty Estimation, Out-of-distribution, Statistics, Probability theory

Other Requirements:

• Deep knowledge of ML Uncertainty

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Define the Uncertainty at the different levels of Autonomous Driving

• Estimate Data-dependent Uncertainty and detect anomalous inputs

• Estimate ML model-based Uncertainty and detect anomalous outputs

Experience Requirements:

• Deep expertise in speech-to-text, text-to-speech, and speaker recognition

• Solid understanding of theory, applications, and limitations of deep learning

• Experience with at least one mainstream deep learning framework

• Practical knowledge of data structures and algorithms

• Experience building complex and extensible software

Other Requirements:

• Hands-on experience with Python

• Hands-on experience with C

• Hands-on experience with PyTorch

• Hands-on experience with CUDA

• Knowledge of graph theory

• Knowledge of probability theory

Experience Requirements:

• Solid understanding of theory, applications, and limitations of deep learning

• Experience with at least one mainstream deep learning framework

• Practical knowledge of data structures and algorithms

• Experience building complex and extensible software

Other Requirements:

• Hands-on experience with Python

• Hands-on experience with C

• Hands-on experience with PyTorch

• Hands-on experience with CUDA

• Knowledge of graph theory

• Knowledge of probability theory

Experience Requirements:

• Solid understanding of theory, applications, and limitations of deep learning

• Experience with at least one mainstream deep learning framework

• Practical knowledge of data structures and algorithms

• Experience building complex and extensible software

Other Requirements:

• Hands-on experience with Python

• Hands-on experience with C

• Hands-on experience with PyTorch

• Hands-on experience with CUDA

• Knowledge of graph theory

• Knowledge of probability theory

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• Opportunity to join an innovative startup

• Work environment for developing talent and realizing ideas

• Flexible working arrangements

• Private health insurance

• Attractive salary

Education Requirements:

• Master's degree or PhD in biochemistry, molecular biology, cell biology, immunology or related field

Experience Requirements:

• 2+ years of industrial experience

Other Requirements:

• Ability to plan and execute biochemistry / molecular biology experiments

• Experience with recombinant protein expression and purification

• Experience with molecular cloning and mutagenesis techniques

• Analytical thinking and problem solving abilities

• Intrinsic motivation, accountability, and a commitment to professional development

• Excellent written and oral English communication skills

Responsibilities:

• Participating in brainstorms for new product and application ideas

• Producing and characterizing wild type and designed proteins

• Suggesting and developing analytical assays for protein characterization

• Developing and optimizing medium and high throughput workflows for protein expression and characterization

• Keeping detailed and accurate records of all lab work

Benefits:

• Opportunity to join an innovative startup

• Work environment for developing talent and realizing ideas

• Flexible working arrangements

• Private health insurance

• Salary range 2000-5000€/month

Education Requirements:

• M.Sc. in bioinformatics, structural biology, or other fields related to computational protein engineering

Experience Requirements:

• 3 years of industry/academia experience

Other Requirements:

• Skilled at rapidly analyzing scientific literature on new enzymes

• Good understanding of protein behavior _in vitro_

• Comfortable with popular protein sequence and structure analysis command-line tools, and Unix systems

• Comfortable with Python and data analysis

• Knowledge of collaborative software development best practices

• Excellent communication, reporting, and writing skills

• Ability to work both independently and in cross-functional teams

Responsibilities:

• Working in a team to engineer new enzymes by applying in-house developed tools

• Supporting the development of new workflows and algorithms

• Participating in brainstorms, proposing ideas for novel tools or applications

• Critically evaluating data generated by the experimental group and incorporating this knowledge into the design of improved protein variants

• Keeping detailed and accurate records of all work

Education Requirements:

• Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 5+ years of experience in data analysis, statistical modeling, and/or machine learning

Other Requirements:

• Strong consulting and client-facing skills

• Excellent communication and presentation skills

• Strong problem-solving and critical thinking skills

• Proficiency in programming languages such as Python or R

• Experience with data analysis and visualization tools such as SQL, Tableau, Alteryx and Power BI. Experience with Sigma Computing is a plus.

• Strong project management skills

Responsibilities:

• Work collaboratively with clients to understand their business objectives and data-related challenges

• Develop and implement custom data analysis solutions

• Provide expert guidance and advice on data-related issues to clients

• Collaborate with cross-functional teams

• Communicate complex data analysis concepts and results to non-technical stakeholders in a clear and concise manner

Experience Requirements:

• History of conducting quantitative analyses

• Solid SQL skills or expertise in R/Python

Other Requirements:

• Able to present complex analysis results to both technical and non-technical audiences

Responsibilities:

• Shape the data analytics strategy

• Own, drive and deliver multiple BI work-streams

• Determine KPIs

• Design A/B test experiments

• Automate reports and build dashboards

Education Requirements:

• Master’s or Ph.D. in Computer Science, Computer Engineering, Computer Vision, or related field

Experience Requirements:

• Experience in state-of-the-art Generative AI technologies

• Experience designing and implementing AI solutions using Python

• Proficiency in ML and CV toolkits (PyTorch, OpenCV)

• Experience using cloud computing services

Other Requirements:

• Experience transferring technology from research to product

• Able to present results to technical and non-technical audiences

Experience Requirements:

• Strong background in machine learning and programming (Python)

• Experience productionizing machine learning models/pipelines

• Experience with feature engineering and common machine learning algorithms

• Familiarity with backtesting strategies and time-series techniques

Other Requirements:

• Strong programming background

• Understanding of model evaluation metrics

• Ability to stay up to date with ML techniques

• Clearly explain problems, present solutions, and debate strategies in English

Responsibilities:

• Participate in product discussions

• Design, build and maintain production machine learning models and pipelines

• Work closely with data and backend engineers

Benefits:

• Fully remote working environment

• Possibility to work 4 days a week after your probation period

• Freedom to make an impact at a small, self-funded, and profitable tech startup

• Benefits and perks are described below

Education Requirements:

• BSc +4 or 5 years of experience in one of the following domains: IT, statistics, data, or engineering

Experience Requirements:

• 4 years of work experience in a data position

Other Requirements:

• Fluent in English

• You fluently speak SQL and Python (or any other data languages: R, Scala...) + Web Analytics

• You have already used at least one data management tool (Snowflake, DBT, Dataiku, Talend, etc.) and one data visualization tool (Tableau, Amplitude, Power BI, QlikView, etc.)

Responsibilities:

• Conduct descriptive and exploratory analyses to identify valuable insights

• Build dashboards and reports to monitor our performance, i.e., experiments, new features, and customer support

• Work on studies to develop our customer knowledge, i.e., segmentation and personas

• Cooperate with internal teams and support them with data insights to make better decisions

• Feedback on the implementation of our data infrastructure and tools