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

Benefits:

• autonomy to plan and create content, building your portfolio

• Gain hands-on experience in a cutting-edge fashion tech startup

• Develop your skills in video creation, editing, and social media strategy

• Work closely with our team, receiving guidance and ideas for content

• Paid internship opportunity with potential for growth

Education Requirements:

• A student or recent graduate passionate about fashion and technology

Experience Requirements:

• Comfortable in front of the camera and behind the scenes

• Familiar with video editing and content creation tools

• Creative thinker with a knack for storytelling

• Eager to learn and grow in a fast-paced startup environment

Responsibilities:

• Create 1-2 short videos per week showcasing our fashion AI tools, explaining their functionality, features, and benefits

• Produce a mix of user-generated content (UGC), including on-camera presentations and zoomed-in product reviews

• Collaborate with founders to brainstorm topics and develop a monthly or weekly content calendar

• Edit videos to be engaging and shareable on social media platforms

Benefits:

• Compensation of $600/week - 4 days per week

• Opportunity to take on significant responsibility in marketing

• Fun-filled team

Education Requirements:

• Current student or recent grad

Experience Requirements:

• Previous experience running social media accounts

Other Requirements:

• Creativity and autonomy

• Excellent written and verbal communication skills

• Available for 10-12 weeks during Summer 2024

Responsibilities:

• Film and generate engaging content for Instagram and TikTok

• Interact with followers

• Implement strategies to grow follower base

• Help define our social media presence

Benefits:

• Hands-on experience in product management for cutting-edge AI technology

• Exposure to the rapidly growing legal tech industry

• Mentorship from Senior Product Manager and Head of Product

• Opportunity to contribute to exciting projects with measurable impact

• Networking opportunities within a dynamic tech startup environment

Education Requirements:

• Currently pursuing a Masters or PhD degree at a top tier university in any of the following areas: MBA, Computer Science, Engineering, AI ML or NLP

Other Requirements:

• Demonstrated interest in product management and technology

• Strong analytical and problem-solving skills

• Excellent communication and interpersonal skills

• Prior experience working with cross-functional teams

• Basic understanding of AI and machine learning concepts (preferred)

• Strong interest in legal tech or prior experience in the legal industry (preferred)

Responsibilities:

• Assist in developing and refining product strategies for our AI-powered contract review tools

• Conduct market research and competitive analysis to inform product decisions

• Collaborate with engineering, legal content, GTM teams to gather product feedback and prioritize product requirements

• Help draft product requirement documents

• Participate in user testing and feedback sessions

Benefits:

• Paid hourly rate of $20

• Flexible work hours

• Opportunity to gain experience working at a cutting-edge tech start-up and to learn practical legal skills

• Opportunity to collaborate with legal counsel working for our parent company in Tokyo, Japan

Education Requirements:

• Second and third-year law students

Other Requirements:

• Strong attention to detail and a passion for contracts and technology

• Programming experience (an asset)

Responsibilities:

• Work on legal content

• Legal operations

• Other important projects

Benefits:

• Certificate

• Flexible Working hrs.

• 5 days a week

• Free Snacks & Beverages

• Informal dress Code

Education Requirements:

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Other Requirements:

• Proficiency in programming languages such as Python or R

• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or similar tools

• Knowledge of SQL for database querying

• Basic understanding of machine learning concepts and algorithms

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data for analysis

• Explore data to identify trends, patterns, and insights

• Support the development and implementation of predictive models and machine learning algorithms

• Perform statistical analysis and hypothesis testing to support decision-making

• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions

Benefits:

• Lots of learning opportunities

• Mentoring by co-founder

• Experience in early-stage startup

• Compensation

• Potential for full-time position

Experience Requirements:

• Pro-active attitude

• Good communication skills in German and English

• Organized working style

Other Requirements:

• Available for at least 3 months and 3 days a week

Responsibilities:

• Market analysis for Quorum

• Contribution to go-to-market strategy

• Lead generation for pilot projects

• Creation of customer meeting materials

• Contribution to content marketing and social media

Benefits:

• Competitive salary and benefits

• Stimulating and inclusive workplace

• Remote and local Hubs

• Frontier work in AI

Education Requirements:

• A completed B.Sc. in computer science or related fields

• Completed coursework on machine learning and/or deep learning

Experience Requirements:

• Foundational knowledge in machine learning algorithms

• Experience with the PyTorch deep learning framework

• Experience with the Python programming language

• Ability to read, understand, reimplement and critique research publications

Other Requirements:

• Strong communication skills

• Creative, collaborative, and innovation-focused

• Strong sense of project ownership and personal responsibility

• Passionate about making AI accessible to everyone

Responsibilities:

• Compression research and integration

• Collaboration with ML Research Engineers and MLOps Engineers

Benefits:

• Great ambitions

• Competitive Compensation

• Huge Impact

• Extraordinary Team

• Flexible Working Hours

Experience Requirements:

• Basic coding skills with a quick learner attitude

• Deep understanding of Machine Learning theory and practice

• Technical fluency in English

• Great communication skills

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:

• Drive to achieve

• Ability to be scrappy and resourceful

• Strong communications skills

Other Requirements:

• Research

• Content Creation

• GTM Strategy & Execution

Responsibilities:

• Research

• Content Creation

• GTM Strategy & Execution

Experience Requirements:

• Experience building complex and extensible software

• Practical knowledge of data structures and algorithms

Other Requirements:

• Hands-on experience with C

• Hands-on experience with Python

• Hands-on experience with JavaScript

• Hands-on experience with AWS

• Hands-on experience with React

• Hands-on experience with Android

• Hands-on experience with iOS

• Hands-on experience with CUDA

• Knowledge of deep learning

Experience Requirements:

• Proficiency in Python, NumPy, and pandas libraries

• Data-oriented problem-solving skills: exploration, visualization, features extraction, and model tuning

• Understanding Machine Learning models: objective functions, regularization, gradient descent, optimization techniques, the curse of dimensionality, etc.

• ML feature engineering (e.g., tokenization, pre-processing and aggregation, pre-trained embeddings)

Other Requirements:

• Our company-wide communication language is English (written & spoken).

• We would appreciate if you could send us your application’s content (CV, cover letter) in English.

• This internship is a pre-hire position, and our goal would be to see this internship convert into a full-time position. The Crossing Minds team prides itself on our team culture and values. Our differences are valued, and our authenticity is celebrated. We are committed to nurturing an environment of mutual respect where equal employment opportunities are available to all.

• Experience with recommender systems in the form of an internship, course, or personal project

• Experience with software development practices, including git proficiency, design patterns, and contributing to large code bases

• Experience as a Machine Learning Engineer in a professional setting

• Experience in customer-facing roles

Responsibilities:

• work with other engineers on the team to unlock the value of recommender systems for our customers

• develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to our customers

• contribute to directly impacting not only the business success of our customers but also millions of people around the world in their discovery of items better tailored to their tastes

• contribute to the evolution of our core recommendation platform