Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Current BS or MS student or recent graduate. CS major is a plus

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus

• Experience with Elasticsearch/ELK stack a plus

• Contribute with ideas to overall product strategy and roadmap

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Graduating by May 2026

Experience Requirements:

• Past experience with web development, including proficiency in JavaScript or Typescript, HTML, and CSS, and familiarity with frameworks such as React.

• Bonus: experience with 3D graphics and visualization libraries such as Three.js or CesiumJS.

• Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks

Responsibilities:

• Develop workflows for QA/QC of new geospatial features, such as utility networks or rail infrastructure, using 3D point cloud and vector data.

• Build a web-based tool for visualizing and interacting with the results of our machine learning models, enabling users to review and annotate detected urban features.

• Contribute to bringing our cloud software stack into an on-premises environment for better security and performance

Education Requirements:

• Currently pursuing a Master's or PhD in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

• Graduating by May 2026

Experience Requirements:

• Strong programming skills in Python, with experience in developing and debugging ML models.

• Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with computer vision tasks.

• A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis.

• Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks

Responsibilities:

• Develop an initial prototype to detect paint lines and curbs on roadways.

• Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.

• Assist in the development and tuning of machine learning models to enhance performance and accuracy

Education Requirements:

• PhD in computer science, applied math, electrical engineering, or similar

Experience Requirements:

• Strong background in computer vision, machine learning and python programming

• Experience with OpenCV, PyTorch and TensorFlow

• Publications in major computer vision conferences

Responsibilities:

• Develop tools and techniques for detecting and segmenting store products in images and videos

• Build automatic checkout systems

Education Requirements:

• Ongoing/completed Ph.D. or Master’s degree in Computer Science or a related field

• Proficiency in Python and PyTorch

• Solid understanding of neural networks and machine learning fundamentals

• Experience with a vision-based deep learning project

Other Requirements:

• Strong enthusiasm for continuous learning

Responsibilities:

• Improve existing and implement new perception features

• Stay abreast of the latest research

• Communicate progress, challenges, and achievements to the team

• Contribute to the advancement of the field

Education Requirements:

• Bachelor's degree in mechanical engineering or similar engineering degree

Experience Requirements:

• Proven experience with CAD

• Proven experience with vehicle component design

• Experience with PLM and BOM management

• Experience with analysis, modeling, and simulation of mechanical systems

Responsibilities:

• Design, develop hardware specification documentation, prototype, analyze and manufacture computer and vehicle hardware

• Integrating sensors and computer hardware systems into large mining and construction vehicles

• Testing and deploying these systems to ensure reliability in the field

• Interfacing with the software engineering and autonomy teams

Education Requirements:

• Ongoing/completed Bachelor's, Master's or Ph.D. degree in Computer Science, Electrical Engineering or a related field

Experience Requirements:

• Proficiency in one or more of the following: C++, Python, JavaScript

• Project work in Robotics, Computer Vision or related domains

Responsibilities:

• Work with various teams to expand the Teleo fleet to new models of heavy machinery

• Advance the functionality of the Teleo system by developing new features

• Deploy features to job sites and work with customer-facing teams and operators to collect feedback for improvements

Benefits:

• Flexibility to work from anywhere in EU

• Develop valuable marketing skills

• Work within a supportive team

• Build industry connections

• Thrive in a challenging startup atmosphere

Education Requirements:

• Current university students or recent graduates in business, economics, marketing, sales, or related fields

Experience Requirements:

• Prior coursework or experience in marketing

• Experience in managing social media channels

• Familiarity with AI tools

Other Requirements:

• Fluent in English

• Reside within EU

• Strong communication skills

• Self-motivated

Responsibilities:

• Create engaging content

• Plan and manage social media posts

• Design marketing visuals

• Help operationalize digital marketing efforts

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area )

Experience Requirements:

• Desire to learn about deep learning technology

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area ) in deep learning techniques

Education Requirements:

• electronic engineering, computer science, AI, or mathematics or related fields

Other Requirements:

• Familiarity with programming languages like C and C++, Python

• Knowledge and experience with RISC-V processor architecture and SystemVerilog/UVM is preferable

Responsibilities:

• Design a customizable and extendable SystemVerilog UVM-based model of a RISC-V processor, along with the development of a UVM testbench environment to ensure comprehensive integration and functionality

• Ensure the model can support the verification of CV32E20

• Ensure the model can support custom ISA instructions

• Identify and overcome challenges associated with interrupt handling within the RISC-V core

• Integrate the developed SystemVerilog model into an RTL simulator environment

Benefits:

• Competitive salary

• Stock options

• Health insurance

• GymPass

• Other perks

Benefits:

• Competitive salary

• Stock options

• Health insurance

• GymPass

• Other perks

Benefits:

• Competitive salary

• Stock options

• Health insurance

• GymPass

• Other perks

Benefits:

• Competitive salary

• Stock options

• Health insurance

• GymPass

• Other perks

Responsibilities:

• help the Sales Representatives primarily in the lead generation phase of the sales cycle to learn about the markets OPT/NET operates in

• familiarise themselves with the sales process by looking through LinkedIn for appropriate leads, closely following the news to discover sales opportunities, assist with the creation of sales collateral, and help establish contact with the innovation/startup facing divisions of large enterprise accounts

Responsibilities:

• assist the Marketing Director and senior staff by performing administrative and content creation-oriented duties while they gain experience

• conduct research, interact with sales teams through calls & emails, update marketing deliverables, attend meetings, and help maintain client relationships, among other tasks

Benefits:

• Work on your own exciting project.

• On-the-fly training

• Interesting project in biomedical computer science.

• Support from our scientist and developer team.

• Insight into an innovative, young company.

Education Requirements:

• Student in biology, physics or computer science or related disciplines

Experience Requirements:

• Experience in biomedical image analysis and Python

Other Requirements:

• Reliable and accurate working attitude with an eye for the details.

• Excellent communication and presentation skills and the ability to express thoughts logically and succinctly.

• Fluent in English language, German would be a plus

Responsibilities:

• Work on a machine-learning pipeline for biomedical imaging data

• Explore and develop a workflow to classify images using Python