Benefits:

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• 401(k) plan with 50% matching

• Unlimited time off and 13 company holidays per year

• Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave) and family-planning support

Experience Requirements:

• 7+

• 5-7

• 2-4

• 0-1

Other Requirements:

• Able to work from San Francisco HQ 3 days per week

Benefits:

• Competitive market salary

• Paid sick leave and vacation days

• Significant equity compensation (stock options)

Experience Requirements:

• Comprehensive data analysis experience

• SQL Ninja, ETL scripting, DWH data pipelines

• Organize daily dashboards for the team

Other Requirements:

• Must speak English

• Russian is a plus

Responsibilities:

• Boost data-driven decision-making and cultivate a data-driven culture across the company

• Optimize and maintain robust Data Warehouse pipelines

• Establish and oversee a comprehensive reporting system for key teams

• Identify and implement North Star metrics for business, product, and education

• Achieve 99.9% data integrity and reliability

Benefits:

• Highly Competitive Salary

• Equity / Option Incentivisation

• Insurance

• Comprehensive Health Plan

• Free Lunch, Dinner, Afternoon Tea and Other Activities

Benefits:

• Big impact

• Flexible schedule with a global, remote team

• Work on products that matter to people

Experience Requirements:

• Experienced with generative models (face reenactment, pose transfer, etc.)

• Can train, tune, and deploy deep-learning models

Other Requirements:

• Passionate about empowering people's creativity with AI

• Result-oriented

• Team player

• Speak and write fluently in English

• Love solving open challenges with a "hacker" mindset

Responsibilities:

• Contribute to generative tech stack

• Review latest ML research

• Build prototypes

• Work with engineering team to productionize models

Benefits:

• Big impact

• Flexible schedule with a global, remote team

• Work on products that matter to people

Experience Requirements:

• Experienced with generative models (image synthesis, text-to-image, etc.)

• Can train, tune, and deploy deep-learning models

Other Requirements:

• Passionate about empowering people's creativity with AI

• Result-oriented

• Team player

• Speak and write in English

• Love solving open challenges with a "hacker" spirit

Responsibilities:

• Contribute to generative tech stack

• Study latest ML research

• Build prototypes

• Productionize models

Benefits:

• A diverse and innovative work with responsibilities

• An exciting job in a successful startup based in Brussels (Place Flagey)

• Possibility to play an important role in a fast-growing company

• An attractive salary based on your experience and profile

• Status : permanent contract (CDI)

Education Requirements:

• Bachelor Degree, Master Degree or equivalent in Machine Learning, Applied Mathematics, Information Theory or Equivalent

Other Requirements:

• Autonomous worker and able to learn new things on the go

• You are ambitious and hardworking. You are looking for new challenge and have an entrepreneurial mindset

Responsibilities:

• Language processing: Prediction of unprecedented results to minimize waste resulting from suboptimal initial conditions

• Language generation: Generation of sentences to improve the attractiveness of advertisements

• Work closely with the founders to boost the company to the next level

• Provide analysis, presentations and valuable actionables for the company and our clients

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