Education Requirements:

• Graduate-level ML experience (or are an exceptionally strong undergrad)

Experience Requirements:

• You can code up a transformer from scratch in pytorch

• You're comfortable creating large-scale datasets

• Care about the problem of finding high quality knowledge and recognize how important this is for the world

Responsibilities:

• Train a 70B parameter version of our current model

• Build an RLAIF pipeline for search

• Dream up a novel architecture for search in the shower, then code it up and beat our best model's top score

Education Requirements:

• Master's degree in a STEM field or equivalent practical experience

Experience Requirements:

• 4 years of industry or PhD Data Science experience

• Experience in causal inference, A/B testing, statistical modeling, or Machine Learning (ML)

• Experience with programming in SQL and Python, leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas)

Education Requirements:

• With desired skills

Benefits:

• 401k with matching up to 4%

• Medical, vision, dental insurance

• Company-paid Life and Disability insurance

• FSA and HSA plans

• Equity options within the company

Education Requirements:

• Degree in materials science, chemistry, physics, or a related field

Experience Requirements:

• Enthusiasm for working with customers in the materials industry to drive adoption of the Citrine Platform

• Enthusiasm for working with cross-functional teams to develop technical and non-technical solutions to customer challenges

• A proven ability to build excellent customer relationships in an enterprise/professional environment.

• Demonstrated ability to work autonomously to prioritize, manage time effectively, and execute deadlines

Other Requirements:

• Aptitude for programming (Python preferred)

• Exceptional communication skills, written and oral

• Willingness to travel up to 20%

Responsibilities:

• Assisting Citrine Platform users with materials informatics challenges to accelerate product development at materials, chemicals, and manufacturing companies

• Developing initial AI assets (e.g. AI models) on the Citrine Platform in collaboration with Citrine Data Scientists

• Frequent and empathetic communication with customers to provide unparalleled, domain-aware materials informatics support

• Handling incoming support requests from Citrine Platform users, including reporting and reproducing Citrine Platform bugs and feature requests

• Providing data formatting and data ingestion guidance to Citrine Platform users

Benefits:

• Pension plan contribution

• Additional 8% holiday pay

• Flexible working hours

• Travel expenses

• Work laptop

Education Requirements:

• MD degree

Experience Requirements:

• Minimum 5 years professional work experience

Other Requirements:

• Ability to build relationships with KOLs and healthcare institutions

• Deep understanding of acute care processes

• Strong communication skills

Responsibilities:

• Clinical Leadership

• Evidence Generation and Research

• Market Adoption and Customer Engagement

• Product Development and Innovation

• Industry Monitoring

Benefits:

• Full-time remote position

• Flexible working hours

• Ability to grow with the organization and affect the processes

• Interesting projects that eventually go to production

• Competitive salary and benefits

Education Requirements:

• MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics, or another related field

Experience Requirements:

• 3+ years of industrial experience in ML/AI-related environment

• Strong expertise in Python and main data science libraries

• Excellent scientific/technical writing skills

• Strong communication and presentation skills

• Business fluent English and German

Responsibilities:

• You structure, manage and lead client activities as well as internal research projects

• You manage the internal data science project

• You evaluate advances in SOTA and assess them for being applicable for customer use cases

• You support our presales team with developing potential use cases and project ideas

• You take an active role in guiding and mentoring your junior colleagues

Benefits:

• Full-time remote position

• Flexible working hours

• Mentoring by experienced colleagues

• Start-up environment

• 6-month contract

Education Requirements:

• Recent graduates or current students in a Masters or Ph.D. degree in math, statistics, computer science, or related quantitative field

Experience Requirements:

• Experience using Python and its common data analysis packages (numpy, pandas, matplotlib, scikit-learn)

• Good understanding of core machine learning concepts (classification, regression, clustering, score metrics, validation, feature engineering, pipelines)

• Experience with data processing: transforming, filtering, and presenting large quantities of data

• Advanced English proficiency

Responsibilities:

• Data processing, cleaning, and annotation

• Model development, testing, and fine-tuning

• Machine learning pipeline development, performance validation, and deployment

• Development of packages and modules for internal use and potential productization

• Preparation of presentations, analytical materials, and project summaries

Other Requirements:

• Machine Learning

• Artificial Intelligence

• Python

• PyTorch

• Jax

• Kubernetes

Responsibilities:

• collaborate to advance the capabilities and safety of LLMs

• areas like code generation and mathematics

Education Requirements:

• Advanced degree or extensive professional experience in AI and/or cybersecurity

Experience Requirements:

• Significant experience in program management and driving forward collaborative projects

• Strong writing and editorial skills

• Clear track record of managing collaborative writing projects on cybersecurity from conception to publication

• Strong communication skills, both written and verbal, and an ability to develop constructive relationships with key partners and stakeholders

• Experience supporting teams and leadership in fast-paced and constantly changing environments

Responsibilities:

• Lead AI security and AI-cyber workstream direction and implementation, working with Forum leadership to develop a portfolio of research workshops and outputs

• Manage AI security and AI-cyber outputs from initial draft through publication, ensure timely delivery

• Organize, moderate and lead multiple working groups and research-oriented initiatives, delivering against a range of research objectives

• Research and develop white papers for use as structured read-aheads for working group meetings and for potential publication on the FMF’s website

• Act as a key partner to Forum leadership, helping to inform and shape the team’s research strategy on AI and cybersecurity

Education Requirements:

• PhD or advanced degree in a STEM field or computational social science

Experience Requirements:

• Significant experience in program management and driving forward collaborative projects

• Strong writing and editorial skills

• Clear track record of managing collaborative writing projects from conception to publication

• Strong communication skills, both written and verbal, and an ability to develop constructive relationships with key partners and stakeholders

• Experience supporting teams and leadership in fast-paced and constantly changing environments

Responsibilities:

• Design and execute AI safety workstreams, working with Forum leadership to develop a relevant workshops and outputs

• Act as a key partner to Forum leadership, helping to inform and shape the Forum’s strategy for AI safety

• Organize, moderate and lead multiple AI safety working groups, workstreams, and other research-oriented initiatives

• Oversee the development of issue briefs for publication on the FMF website and/or circulation among member firms and key stakeholders and partners

• Independently represent the FMF’s strategy and narrative with external AI safety stakeholders and partners

Education Requirements:

• MS or advanced training in a STEM field or computational social science

Experience Requirements:

• Strong writing skills

• Experience supporting teams and leadership in fast-paced and constantly changing environments

Responsibilities:

• Working with Forum leadership to implement a portfolio of timely research workshops and outputs

• Help organize multiple working groups and research-oriented initiatives, delivering against a range of research objectives

• Research and draft memos for use as structured read-aheads for working group meetings and for potential publication on the FMF’s website

• Conduct and write comprehensive literature reviews on various AI safety research topics

• Draft and compile research surveys on various topics for circulation within expert networks