AI Jobs

Benefits:

• Opportunities to collaborate on impactful global AI projects

• Flexible engagement models (part-time, contract, or project-based)

• Sense of purpose and belonging in a global mission-driven community

Education Requirements:

• Recognized medical degree (MD, DO, MBBS, or equivalent)

Experience Requirements:

• Board certification in Pathology, Radiology, or Cardiology (active, previous, or in progress)

• Clinical experience in diagnostic interpretation

• Fluency in English

Other Requirements:

• Interest in applying clinical knowledge to AI and digital innovation

• Experience in data labeling or AI ethics (Nice to have)

Responsibilities:

• Review and validate medical data or imaging annotations

• Provide domain expertise to improve AI model diagnostic accuracy

• Help design or review training materials for medical labeling teams

• Contribute to quality assurance or expert validation activities

Experience Requirements:

• Minimum 3 years of hands-on experience in data science roles

Other Requirements:

• Strong grasp of machine learning algorithms, statistical modeling and deep learning

• Proficiency with Python and libraries like NumPy, Pandas, OpenCV, scikit-learn

• Hands-on experience with PyTorch or TensorFlow

• Strong skills in SQL and both relational/NoSQL databases

Responsibilities:

• Own the ML lifecycle- data exploration, model development, validation and deployment

• Build and optimize predictive models, recommendation engines or computer vision/NLP solutions

• Apply machine learning techniques for text mining and information extraction

• Experiment with architectures such as CNNs and Vision Transformers

• Perform model validation, optimization and error analysis

Benefits:

• Healthcare

• Competitive Compensation

• Commuter Benefits

• Flexible Time Off

• Free Meals

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 6+ years experience in data science or machine learning roles

• Direct experience on recommendation systems

• Strong technical skills in Python, SQL, and statistical modeling

Other Requirements:

• Applicants must be eligible to work in the US

• A self-starter mentality

Responsibilities:

• Define content strategy

• Get hands-on diving deep into user behavior patterns

• Design and run experiments

• Build evaluation systems

• Collaborate cross-functionally

Experience Requirements:

• 3+ years as a Data Scientist, Data Analyst, or Quantitative Analyst

• Advanced SQL for analysis

• Practical application of statistical concepts (e.g. regression, forecasting)

• Building stakeholder relationships and presenting recommendations

• Experience with or strong interest in People & Culture (HR)

Other Requirements:

• AI Fluency: Curiosity to use AI tools practically and effectively

• Proficiency in Python and common data libraries is useful

Responsibilities:

• Identify and prioritise high-impact analytical questions

• Conduct rigorous end-to-end analyses to uncover insights

• Translate complex findings into narratives and dashboards

• Develop tools to empower stakeholders with self-service analytics

• Advocate for telemetry collection to fill data gaps

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• PhD in synthetic organic chemistry

Experience Requirements:

• At least two years post-doctoral or equivalent experience

• Proven experience publishing as a first author in high-impact journals

• Comprehensive understanding of the Chemical Weapons Convention (CWC)

• Experience with CBRNE mitigation or non-proliferation

• Familiarity with the machine learning lifecycle and AI Safety Frameworks

Other Requirements:

• Knowledge of Frontier Safety Framework (FSF) and Critical Capability Levels (CCLs)

• Experience using/developing computational chemistry tools (e.g., AlphaFold)

Responsibilities:

• Build rigorous frameworks to evaluate model proficiency in chemical synthesis

• Analyse evaluation results to brief executive decision-makers

• Refine internal safety taxonomies for emergent risks

• Partner with Research Engineers to revise mitigation strategies

• Stay abreast of global chemical security trends and non-proliferation policy

Education Requirements:

• Bachelor's degree in a quantitative field (Statistics, Mathematics, Data Science, Economics, etc.) or equivalent practical experience

Experience Requirements:

• 5+ years of experience in data analysis, business intelligence, or quantitative analysis

• Advanced proficiency in SQL

• Solving complex business problems using SQL and Python/R

• Track record of building automations or workflow scripts

• Experience with or interest in HR/People Analytics

Other Requirements:

• AI Fluency: Curiosity and ability to use AI tools practically and responsibly

Responsibilities:

• Translate complex talent questions into structured analytical frameworks

• Independently own the full analytical lifecycle from data extraction to narrative delivery

• Develop and maintain sustainable reporting tools

• Partner with HR Business Partners and Leaders on talent initiatives

• Ensure analysis compliance with data governance and Privacy Design Documents

Education Requirements:

• Knowledge of probability theory and statistics

• Knowledge of linear algebra

• Knowledge of optimization methods

Experience Requirements:

• Extensive experience applying GAN models in real-world tasks

• Experience with diffusion models in real-world tasks

• Proficient knowledge of Pytorch

• Experience with scikit-image, openCV, and PIL libraries

Other Requirements:

• Ability to write readable and maintainable code

• Proficiency in bash and git

• English proficiency at a level sufficient for reading scientific articles

• Desire to study new approaches, models, and technologies

Responsibilities:

• Researching and solving non-trivial tasks using diffusion models

• Training various GAN models and improving current pipelines

• Working with synthetic data generation

• Writing services for production deployment

• Interacting with the data collection team

Education Requirements:

• M.Sc. or Ph.D. in Computer Science

• M.Sc. or Ph.D. in Data Science

• M.Sc. or Ph.D. in Statistics

• M.Sc. or Ph.D. in Engineering

• M.Sc. or Ph.D. in Mathematics

Experience Requirements:

• 5+ years of experience in AI research

• Strong background in LLM research

• Proficiency in Python

• Experience with PyTorch, Hugging Face, torchtune, and vLLM

• Experience translating deep learning research to production

Other Requirements:

• Passion for medicine, health, and wellbeing

• Fast learner with excellent problem-solving skills

Responsibilities:

• Develop clinical AI models

• Design and implement scalable data pipelines

• Stay up to date with the latest AI research

• Communicate complex concepts to stakeholders

• Collaborate with MLE and AI engineering teams

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• Bachelor's degree or equivalent practical experience

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, or Anthropology

Experience Requirements:

• 6 years of experience in product research

• Experience in programming languages used for data manipulation

Other Requirements:

• Experience working with AI model training

• Experience shaping research programs in ambiguous spaces

• Knowledge of a wide range of research methodologies

• English proficiency

Responsibilities:

• Conduct primary research to support teams working on quality and trust of AI features on Search

• Partner with cross-functional partners to develop insights and align model training

• Establish a decisive user-centered point of view to guide product strategy

• Support the development of the research roadmapping and aligning

• Understand and utilize the strengths and shortcomings of different research methods

Education Requirements:

• MSc in a quantitative field (Computer Science, Statistics, Software/Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

Other Requirements:

• Deep understanding of machine learning models and statistical inference

• Great communication and interpersonal skills

• Experience with Recommender System, Reinforcement learning or AutoML will be an advantage

• Experience with one or more deep learning framework will be an advantage

Responsibilities:

• Lead end-to-end ML projects (exploration to deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve ML pipeline

• Work in a short life-cycle research and development environment

• Work closely with Product, Customer Success, BI, Dev and DevOps teams

Benefits:

• Flexible working hours

• Start-up environment

• Mentoring by experienced colleagues

Education Requirements:

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

Experience Requirements:

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

• Good understanding of core machine learning concepts

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

• Advanced English proficiency

Other Requirements:

• Experience with deep learning models and frameworks (PyTorch, TensorFlow)

• Practical experience with machine learning tasks (NLP, CV, time series)

• Experience with databases (SQL and NoSQL) and clustered data processing

• Basic understanding of main software development principles (OOP, VCS, CI/CD)

• Domain-specific knowledge relevant for modeling

Responsibilities:

• Data processing, cleaning, and annotation

• Model development, testing, and fine-tuning

• Machine learning pipeline development, validation, and deployment

• Development of packages and modules for internal use

• Preparation of presentations, analytical materials, and project summaries

Benefits:

• Competitive salary and benefits

• Flexible working hours

• Ability to grow with the organization

• Interesting projects that eventually go to production

Education Requirements:

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

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

Other Requirements:

• Working with a high degree of self-responsibility and a goal-oriented approach

• Deep expertise in NLP, Computer Vision, Industry 4.0, IoT, Remote Sensing

• Proven ML skills (academic papers, Kaggle, GitHub)

• Experience with neural networks with PyTorch/TensorFlow

Responsibilities:

• Structure, manage and lead client activities and internal research projects

• Manage the internal data science project

• Evaluate advances in SOTA and assess applicability for customer use cases

• Support presales team with developing potential use cases and project ideas

• Take an active role in guiding and mentoring junior colleagues

Education Requirements:

• Bachelor’s or Master’s degree in a quantitative field

Experience Requirements:

• 10+ years in product analytics

• 4+ years of direct people management

• Advanced proficiency in SQL, R, or Python

• Expertise in Tableau, Power BI, or similar tools

• Knowledge of advanced statistical modeling

Responsibilities:

• Lead product analytics charter for a dedicated vertical

• Forecast potential costs and revenues for leadership

• Manage and mentor a team of analysts

• Translate complex datasets into executive narratives

• Filter and structure large datasets into data models

Education Requirements:

• Active LPN/LVN license

Experience Requirements:

• 5+ yrs practical nursing experience

• PN program teaching or clinical preceptor experience preferred

Other Requirements:

• Deep understanding of LPN/LVN scope of practice across multiple states

• Familiarity with NGN item types

Responsibilities:

• Log into our review portal and work through your assigned question queue independently

• Read each question's clinical scenario, answer options, and rationale carefully

• Mark each question as Approved, Needs Revision, or Reject

• Leave clear, specific comments on any issues

• Verify EVERY question stays within LPN/LVN scope

Education Requirements:

• Active APRN license with FNP certification (AANP or ANCC, ideally both)

• DNP preferred

Experience Requirements:

• 5+ yrs primary care practice with prescriptive authority

• Board exam prep teaching or item-writing experience preferred

Other Requirements:

• Familiarity with both AANP MCQ-only and ANCC interactive item formats

• Ability to validate prescribing content reflects NP scope

• Knowledge of current clinical guidelines (USPSTF, AHA, ADA, ACOG)

Responsibilities:

• Log into our review portal and work through your assigned FNP question queue

• Read each question's clinical stem, differential diagnosis options, and detailed explanation

• Mark each question as Approved, Needs Revision, or Reject with specific comments

• Verify differential diagnosis logic follows current clinical guidelines

• Confirm all prescribing content reflects NP prescriptive authority

Education Requirements:

• Active RN license (BSN minimum)

Experience Requirements:

• 5+ yrs clinical experience spanning Medical-Surgical, Maternal/Newborn, Pediatrics, or Psychiatric nursing

• NCLEX prep instruction or item-writing experience strongly preferred

Other Requirements:

• Strong knowledge of the NCSBN Clinical Judgment Measurement Model (CJMM)

• Knowledge of all Next Generation NCLEX item types

Responsibilities:

• Log into our review portal and work through your assigned question queue at your own pace

• Read each question's clinical stem, answer options, and detailed explanation

• Mark each question as Approved, Needs Revision, or Reject using platform tools

• Leave specific, actionable comments on any question that needs changes

• Validate all 19 NGN item types are structurally correct

Benefits:

• 4 day work week

Education Requirements:

• Registered Nurse (RN) qualification

Responsibilities:

• Patient care

Other Requirements:

• Ability to work from office in Union Square, NYC