Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Comprehensive compensation package with stock options to become a co-owner of EthonAI.

• On-site work is important, with significant scope for flexible schedules and partially remote work.

• A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation.

• Flexible parental leave.

• Support for continued learning, such as online courses and conferences. Our office has a south-facing rooftop terrace equipped with a nice BBQ

Education Requirements:

• Academic degree from a relevant field, such as Computer Science. Master's degree for recent graduates, but a Bachelor's backed with real-world experience can also work

Experience Requirements:

• Worked as a data analyst, data scientist or data engineer for at least 3 years

• Enjoy directly with customers to solve their problems

• Working knowledge of Python and SQL

• Demonstrated ability to use data to understand customer pain-points

• Excellent communication skills in spoken and written English

Responsibilities:

• Engage directly with customers, including visiting their factories, to understand and empathize with their pain points.

• Use EthonAI's tools to provide proofs of value and additional insights to customers.

• Write custom data loaders for the EthonAI platform, in collaboration with engineers and customers.

• Work cross-functionally with the product, engineering and sales teams to provide the customers’ point of view, to help us perfect our platform and product offering

Benefits:

• Health, Dental, and Vision Insurance

• HSAs & FSAs

• Life and Disability Insurance

• Commuter Benefits

• 401(k)

Benefits:

• Competitive Salary

• Comprehensive health insurance

• Retirement plans

• Unlimited paid time off

• Flexible working hours

Education Requirements:

• Ph.D. in AI, machine learning, computer vision, computer graphics, or a closely related field

Experience Requirements:

• 3+ years of industry experience

Other Requirements:

• Proven research expertise

• Technical Mastery

• Experience with 3D tools

Responsibilities:

• Cutting-Edge Research

• 3D Content Innovation

• Collaborative Development

• Thought Leadership

Education Requirements:

• Undergraduate degree (any discipline and any grade)

• Postgraduate study (in progress or planned)

Other Requirements:

• Willingness to learn and listen

• Openess to feedback (giving and receiving)

• Appreciate for The Rio Way (or mission, values and culture)

• High aptitude to learn from others and teach in return

• London based (expenses are not included during the internship)

• It is not critical to be interested in a full time role, however candidates who do want to apply for the Analyst graduate training programme (12 months paid 30,000 GBP) from September 2024 will be prioritised

Responsibilities:

• 3 day training to understand the Rio platform and data management processes;

• Work with a Consultant on a live customer example

• Train in professional services: project management, stakeholder engagement, communication and teamwork

• Tuesday-Thursday office based with Rio AI’s ‘The Consultant Group’ which sits in the Commercial team

• Understanding of sustainability technology and how Rio AI is supporting customers

Benefits:

• Reasonable expenses may be reimbursed

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Paid Time Off

• Supplemental Insurance

• Health Insurance

• Career Growth

• Retirement BenefitsEmployee Bonus ProgramGroup Life BenefitsTeam Building Events

Benefits:

• Fully remote work environment with flexible hours and home office stipend

• Unlimited paid vacation and sick leave which you are encouraged to use

• Medical, dental and vision insurance

• Employee stock option plan

• Family friendly company culture including paid parental leave

Experience Requirements:

• 2 years+

Other Requirements:

• Must have 2+ years of experience with Microsoft Power BI

• Advanced knowledge of Excel is required

• Basic knowledge of R, SQL, and Python is desirable

• 1 year of Intermediate to Advanced knowledge in Power Query, M, and DAX language is preferred

• Excellent communication and presentation skills are necessary

• Strong mathematics skills and analytical abilities are essential

Responsibilities:

• Building infrastructure for data extraction, transformation, and loading.

• Creating analytical tools for actionable insights into business performance metrics.

• Ensuring deliverables have Executive presence and effective processes.

• Designing and implementing internal process improvements for greater scalability.

• Collaborating with stakeholders on data infrastructure and resolving technical issues

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

• Fluent in English both spoken and written

Responsibilities:

• Work directly both with our R&D division and with our Mission Control team on data analytics projects using our internal tools, spreadsheets and Python scripts for exploratory data analysis, modeling, visualization, performance evaluation and report generation

• Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process

• Evaluating and interpreting the outputs of the models from an economic and financial point of view.

• Producing clear written summaries of research results

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 2+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

Responsibilities:

• Researching, designing and implementing appropriate machine learning algorithms

• Selecting appropriate datasets and data representation methods

• Running machine learning tests, experiment and performing statistical analysis

• Present in a clear and concise way complex results using intuitive and beautiful data visualizations

• Extending existing AI/ML libraries and frameworks

Education Requirements:

• BSc in Physics and an MSc in Computational Statistics and Machine Learning

• Masters in Artificial Intelligence

• Degree in spacecraft engineering and an MSc in computer science

• Degree in Theology

• Applied mathematician by training, PhD in numerical methods for nonlinear elliptic PDEs, Postdoc in ML focusing on density estimation

Responsibilities:

• Developing better entropy models

• Designing novel efficient architectures

• Managing a core team

• Handling infrastructure and main codebase

• Heading up the Machine Learning DevOps team and the mobile runtime team

Benefits:

• Competitive health insurance plans

• Dental and vision insurance

• Pre-tax flexible spending accounts

• Mental health support and services

• 401(k) plan

Education Requirements:

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

Experience Requirements:

• Strong background in Machine Learning

• Experience in building state-of-the-art models at large scale

• Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations

• Passion in contributing to the open model ecosystem and pushing the frontier of open models

• Excellent problem-solving and analytical skills

Responsibilities:

• Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that significantly improve over state-of-the-art

• Take advantage of the computational infrastructure of Together to create the best open models in their class

• Understand and improve the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.)

• Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base

• Stay up-to-date with the latest advancements in machine learning

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 3+ years experience for Data Analyst

• 5+ years for Senior Web Scraping Specialist

Responsibilities:

• Collaborate with cross-functional teams

• Conduct research and experimentation

• Develop and enhance forecasting models

• Optimize machine learning models

• Stay updated on advancements in machine learning

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 3+ years experience

Responsibilities:

• Identify opportunities and set priorities

• Deconstruct problems and form hypotheses

• Integrate analytical solutions

• Monitor and manage project baseline

• Translate and communicate results

Benefits:

• Private healthcare

• Mental health resources

• Competitive compensation

• Paid time off

• Community and socials