AI Jobs

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field

• Masters/PhD in Data Science, Machine Learning or AI (Desired)

Experience Requirements:

• Relevant data science or machine learning engineering experience

• Programming experience, preferably fluent with Python and SQL

• Familiar with fundamental machine learning theory

• Experience with at least one Cloud provider

• Experience with building training and inference pipelines for ML projects

Other Requirements:

• Strong analytical skills and passion for solving data problems

• Strong communications skills

• Understanding of database architectures

• AWS certifications

• Interested in learning more about Cloud Native Computing Foundation technologies

Responsibilities:

• Exploratory data analysis

• Implementing data pipelines

• Training models (machine learning or not)

• Data visualisation

• Communicate effectively with both business and technical stakeholders

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

• Monthly meal stipend

Education Requirements:

• Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, etc.)

Experience Requirements:

• 5+ years of experience in data science or quantitative modeling

Other Requirements:

• Strong working knowledge of Python, R, Spark, or SQL

• Critical thinking and problem-solving skills

• Ability to explain technical findings to non-technical stakeholders

Responsibilities:

• Build and deploy ML models to prevent fraud

• Support development of risk mitigation strategies

• Work directly with clients to deliver solutions

• Evolve risk metrics and measurement of impact

• Collaborate with engineering to scale models

Benefits:

• Real impact on client strategies

• Diverse project portfolio

• Growth paths into consulting or AI engineering

• Flexible working hours

• High-end equipment

Experience Requirements:

• Minimum of 4 years of experience in Data Science

• Proficiency in classical and non-linear ML techniques

• Fluent Python programming (NumPy, pandas, scikit-learn)

• Ability to manage and analyze data using SQL

• Ability to translate data into actionable business insights

Other Requirements:

• Strong communication skills

• Ability to explain complex concepts simply

Responsibilities:

• Data exploration and cleaning

• Predictive modeling and time-series analysis

• Generating business insights directly supporting decisions

• Creating data visualizations and dashboards

• Collaborating with AI engineers and product teams

Experience Requirements:

• top tier

Other Requirements:

• n8n

• OpenAI AgentKit

• OpenAI ChatKit

Responsibilities:

• Data & Insights / Streaming

• Machine Learning research for creative tech

Responsibilities:

• Data & Insights / Streaming

• Managing core ad metrics

Responsibilities:

• Data & Insights / Streaming

• Machine Learning infrastructure

Benefits:

• Flexible working hours

• Hybrid & remote work options

• Hardware contribution

• MultiSport card

• Self-development allowance

Education Requirements:

• Knowledge of contemporary ML and statistics

Experience Requirements:

• Python coding skills

• Experience with NLP tasks or agentic systems

• Experience with production ML/AI systems

Other Requirements:

• Open to learn new technologies

• Ability to evaluate solutions using data

Responsibilities:

• Build prototypes of new search and LLM systems

• Design, run and analyze experiments at scale

• Collaborate with engineering teams

• Learn state of the art science

• Handle projects processing thousands of requests per second

Benefits:

• Fully remote position

• Flexible working hours

• Mentoring and support in advanced ML

• Modern development and deployment workflows

• High impact and cutting edge R&D

Education Requirements:

• Bachelor's Degree or an equivalent in a STEM field

Experience Requirements:

• Strong knowledge of computer vision

• Solid Python programming experience

• Experience applying ML to computer vision problems

• Fine-tuning generative vision models

• Understanding of ML fundamentals

Other Requirements:

• Experience with prompt engineering

• Excellent communication and listening skills

• Grasp of ML math (linear algebra, probability, etc.)

Responsibilities:

• Experiment with and evaluate visual domain ML models

• Iterate quickly for early and frequent deployment

• Write well-structured and tested code

• Participate in code reviews and design sessions

• Stay updated on technological developments

Benefits:

• Competitive location-adjusted stipend

• Conference and travel support

• Weekly 1:1 mentorship

• Adequate compute resources

• Remote work environment

Experience Requirements:

• Prior publications showing self-directed research

Other Requirements:

• Topic of interest proposal

• Github / scholar / x links

• Analysis of one current project

Responsibilities:

• Spend 80% of time on own research

• Focus on high risk frontier research

• Participate in wider research programs

• Produce 1-2 papers with code per year

• Write a final report if publication is unmet

Benefits:

• Redefining the design process

• Work fast and value clear communication

• Strong community of creators

• Ship consistently

• Care about innovating

Experience Requirements:

• 3+ years

• Experience with 3D generative models or other generative models (Diffusion, Transformers, GAN, LLM)

Other Requirements:

• US citizen/visa only

• Share links to research papers you participated in as a major author/contributor

• Skilled in Python and PyTorch

• Familiarity with CUDA is beneficial

• Demonstrated ability to work with large datasets

Responsibilities:

• Lead research efforts for generative models and algorithms

• Work alongside other teams to integrate models in our 3d editor

• Research, train, and implement models for different types of visual/media outcomes

Benefits:

• Competitive salary

• Work on groundbreaking projects

Experience Requirements:

• Experience in AI/ML, fashion tech, or sustainability-focused roles

• Previous R&D experience (bonus points if you’ve worked with AI or fashion technologies!)

Other Requirements:

• A creative thinker who loves to innovate and solve complex challenges

• Passionate about both tech and sustainability

Responsibilities:

• Lead the development and enhancement of our AI-powered upcycling suggestions

• Work closely with the tech team to evolve our machine-learning models

• Stay on top of fashion and sustainability trends

• Analyze user feedback to refine our app

Benefits:

• Equity

• Low deductible health plans

• Flexible time away

• Family leave programs

Experience Requirements:

• 8+ years of experience in product analytics or BI

• Experience owning product performance reporting

• Background working with product usage data

• Proficiency in SQL and Excel

• Ownership of data quality and metric governance

Other Requirements:

• Must be authorized to work for ANY employer in the U.S.

• Unable to sponsor or take over sponsorship of an employment Visa

Responsibilities:

• Define core product metrics and measurement strategy

• Own recurring product performance reporting

• Build and maintain dashboards for trends and anomalies

• Own metric definitions and governance

• Own the semantic layer for curated datasets

Benefits:

• A competitive salary

• Meaningful stake in the company’s growth and success (equity share options)

• ~35 days of paid holiday per year

• Significantly enhanced parental leave

• Level 6 (highest level) dental insurance

Education Requirements:

• Strong subject knowledge in chemistry, biology and physics (ideally with fluency in maths up to A-Level)

Experience Requirements:

• Preferred: Experience creating multimedia content

• Preferred: Experience teaching or tutoring science/maths

• Preferred: Some experience with programming

• Preferred: Experience using generative AI tools

Other Requirements:

• Ability to quickly learn new tools

• Clear and accurate written communication

• Strong attention to detail

• Ability to manage time effectively

Responsibilities:

• Produce high-quality visual assets (animations and diagrams)

• Ensure all quiz content is accurate and high quality

• Review and edit lesson scripts for technical accuracy

• Collaborate with a small team to meet deadlines

• Fix past issues on live courses where required

Benefits:

• Competitive mix of cash and options

Education Requirements:

• M.S. in CS, applied mathematics, statistics, physics, or related discipline

• Ph.D. preferred

Experience Requirements:

• 2+ years of professional experience

• Two or more years of experience developing robust code on larger projects

Other Requirements:

• Mastery of Python and PyTorch

• Expertise in deep learning and generative modeling

• Experience with diffusion models, Transformers, and Bayesian optimization

• Applicants must be based in North American time zones

• Intellectual curiosity and drive to excel

Responsibilities:

• Run experiments to evaluate new architectures and tune hyperparameters

• Continually improve the robustness and efficiency of our existing code base

• Identify, clean, prepare, and test datasets

• Apply our pipeline to new targets to help develop novel drugs

Experience Requirements:

• Senior level experience

• History of conducting quantitative analyses

• Solid SQL skills or expert in R or Python

Other Requirements:

• Good communication skills

• Able to present complex analysis results to both technical and non-technical audiences

Responsibilities:

• Shape the data analytics strategy, insights, and analytics infrastructure

• Own, drive and deliver multiple business intelligence (BI) work-streams

• Determine KPIs that best reflect the business objectives

• Design A/B test experiments, analyze and interpret the results

• Automate reports and build dashboards

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of biology curriculum and concepts

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Deep knowledge of chemistry concepts

Experience Requirements:

• Passion for teaching

• Expertise in topics like organic or ap chemistry

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which level of chemistry to teach

• Get familiar with curriculum

• Establish teaching methods and tools

• Generate supplemental learning source list

• Create own materials over time

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of economics curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials