AI Jobs

Benefits:

• Cutting-edge research

• Real-world impact

• High autonomy

• Collaborative team

• Flexibility

Experience Requirements:

• Senior level experience

• Experience shipping ML products at scale

Responsibilities:

• Train and deploy models purpose-built for image editing

• Drive projects end-to-end, from research to deployment

• Build models for object erasing & insertion

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional development opportunities

• A dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

Other Requirements:

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

• Excellent attention to detail

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports

• Collaborate with Sales, Engineering, and Operations teams

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and computing resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 7+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Experience with observability and monitoring of LLM applications

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Proficiency in model compression and distillation

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in Data Science, Statistics, Mathematics, Computing or related areas

Experience Requirements:

• Solid experience as a Senior Data Scientist or equivalent

• 3+ years of experience in industry or retail (large scale data contexts)

• Experience in market analysis, CRM, pricing, or commercial planning

Other Requirements:

• Advanced proficiency in Python and SQL

• Mastery of descriptive and inferential statistics

• Experience with BI tools (Power BI, Tableau or similar)

• Advanced English

Responsibilities:

• Analyze large volumes of data to identify patterns and business opportunities

• Translate analysis into actionable recommendations for strategy

• Partner with Sales, Solutions, and Product teams

• Build and maintain executive dashboards for decision-making

• Operationalize analytical solutions and models for client-oriented deliveries

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory and loss function engineering

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms

Responsibilities:

• Lead the development and fine-tuning of advanced ML models

• Design and implement effective HPO and cross-validation strategies

• Choose loss functions and optimizers tailored for specific problem sets

• Implement and monitor experiment tracking using tools like MLFlow or W&B

• Develop and optimize training datasets using Hugging Face and PyTorch

Benefits:

• 3 months internship

• Flexible environment

• Research on latest AI tech

• Conversion to full-time potential

• Work tools support

Experience Requirements:

• Experience irrelevant

• LLM or RAG research experience

Other Requirements:

• Passion for learning new tech

• 3+ days office work per week

• Multi-modal interest

Responsibilities:

• RAG technology development

• Multi-modal Foundation research

• Data generation and augmentation

• LLM-as-a-Judge evaluation

Benefits:

• Meal vouchers

• health & wellness solutions

• mobility

• travel policy

• remote stipend

Education Requirements:

• A M.Sc./Ph.D. in computer science

• equivalent experience in software engineering

Experience Requirements:

• Expertise in the PyTorch deep learning framework

• Expertise in the Python programming language

• Strong foundational knowledge in machine learning algorithms

• Ability to read, understand, and critique research publications

Other Requirements:

• Strong communication skills

• Creative, collaborative, and innovation-focused

• Strong sense of project ownership

• Passion for making AI accessible

Responsibilities:

• Understand and implement compression methods

• Integrate these methods into our compression tool

• Adapt and extend successful methods

• Provide support to customers

• Conduct thorough testing

Education Requirements:

• Completed B.Sc. in computer science or related fields

• Completed coursework on machine learning and/or deep learning

Experience Requirements:

• Experience with the PyTorch deep learning framework

• Experience with the Python programming language

• Ability to read, understand, reimplement research publications

Other Requirements:

• Strong communication skills

• Creative, collaborative, and innovation-focused

• Strong sense of project ownership

Responsibilities:

• Understand and implement compression methods

• Integrate these methods into our compression tool

• Adapt and extend successful methods

• Conduct thorough testing

Education Requirements:

• Degree in Industrial Engineering, Statistics, Economics

Experience Requirements:

• 5+ years as a data or product analyst

• Proficiency using SQL and Excel

• Experience with product analytics methodologies

• Experience with Tableau or Looker

Other Requirements:

• Fluency in common statistical analysis methods

• Strategic thinking

• Self-motivation

Responsibilities:

• Present data-driven insights to leadership

• Build business cases for new functionality

• Lead deep-dive strategy analysis

• Design and maintain ongoing dashboards

• Ensure right data is generated and collected

Benefits:

• Mentorship from world-class researchers

• Hybrid working (3 days in-office expectation)

• Free team lunches (Tue-Thu)

• Optional social activities

• Annual international offsite

Education Requirements:

• Strong background in machine learning, LLMs, NLP, or related fields

Experience Requirements:

• Experience with research methodologies and experimental design

• Proficiency in Python

Other Requirements:

• Must have the right to work in the UK

• Ability to work from 08/06/2026 to 28/08/2026

• No visa sponsorship available

Responsibilities:

• Conduct original research in AI/NLP

• Develop and implement novel algorithms and models

• Analyse experimental results

• Contribute to research publications

• Present findings to the research team

Benefits:

• Health coverage

• Retirement plans

• Unlimited paid time off

• Flexible and remote work options

• Learning and development stipends

Education Requirements:

• Master's or PhD in Statistics, Data Science, Computer Science, or related quantitative field

Experience Requirements:

• Strong to extensive experience working with sports data and analytics

• Solid to deep foundation in statistical modeling, machine learning, and predictive analytics

• Proficiency in building data science solutions from concept to deployment

• Experience working with large, complex datasets and database systems

• Advanced proficiency in cloud-based computing platforms

Other Requirements:

• Curiosity and passion for sports

• Collaborative mindset

• Aligned with core values: honesty, humility, hard work, commitment, innovation, and exceptionalism

Responsibilities:

• Build end-to-end data science solutions and predictive models

• Design and implement sports analytics tools for athlete evaluation

• Lead the design of complex, high-impact data science tools

• Provide technical mentorship and guidance to data scientists

• Engage with sports operations teams to translate analytics into actionable insights

Education Requirements:

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

Experience Requirements:

• Demonstrated experience developing models at production scale for hockey or sports betting for 2+ years

• Expertise in Probability Theory, Machine Learning, and Inferential Statistics

• 5+ years experience delivering effective machine learning/statistical models in sports or betting

• Experience with relational SQL & Python

• Experience with source control tools such as GitHub

Other Requirements:

• Excellent communication skills

• Proven track record of strong leadership skills

• Experience working in AWS environments

Responsibilities:

• Ideate and develop machine learning and statistical models

• Develop contextualized feature sets using sports domain knowledge

• Partner with data engineering and product teams to deploy models

• Improve model performance using offline and online experimentation

• Document modeling work and present to stakeholders

Benefits:

• Paid internship

Education Requirements:

• Undergraduate degree (senior status minimum) in related field

Experience Requirements:

• Internship and/or part-time experience with other sports teams preferred

Other Requirements:

• Excellent statistical and analytical skills

• Experience using Tableau is preferred

• Ability to work non-traditional hours

• Willingness to lift and carry 25-50 pounds

Responsibilities:

• Development and maintenance of key reports and visualizations

• Perform exploratory data analysis to identify trends and patterns

• Provide recommendations addressing business goals using quantitative and qualitative data

• Support ad-hoc data analysis requests from different departments

• Assist in development of CRM features

Education Requirements:

• Bachelor’s degree in Performance Analysis, Sport Science, Data Science or related field (or currently pursuing)

Experience Requirements:

• Experience as a video or data analyst working with coaches

• Experience filming and coding soccer training sessions or matches

• Working knowledge of Hudl Sportscode or similar video analysis platforms

• Strong understanding of soccer tactics and principles of play

Other Requirements:

• Must reside within Washington state upon date of hire

• Must be eligible to work in the US without sponsorship

• Ability to operate video cameras; drone experience preferred

• Proficiency in Microsoft Office

Responsibilities:

• Deliver video and data support aligned with team standards

• Record, capture, and code First Team training and matches

• Prepare and edit clips to support player development

• Contribute to the opponent scouting process

• Support game day setup and live analysis workflows