Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
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
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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
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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
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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
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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
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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
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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
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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
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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
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Education Requirements:
Currently pursuing an undergraduate or graduate degree in economics, statistics, mathematics, computer science, data science, or related field
Experience Requirements:
Foundational programming experience with R, Python, or similar
Familiarity with SQL
Basic proficiency with Microsoft Office
Exposure to data visualization tools preferred
Other Requirements:
Interest in sports business and fan engagement
Strong analytical thinking and problem-solving abilities
Ability to manage time effectively and meet deadlines
Responsibilities:
Aggregate, clean, and transform data for analysis
Assist in building reports and dashboards using Tableau
Support ad-hoc analysis requests across departments
Assist with CRM data quality initiatives in Salesforce
Contribute to consumer insights projects
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Benefits:
Competitive Salaries
Company Stock Options
Health, Vision & Dental Coverage
Learning & Development
Flexible Work Hours
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Benefits:
Diverse and inclusive workplace
Equal opportunity employer
Experience Requirements:
1+ years of experience in data science
Other Requirements:
Proficiency in Python (ML libraries) and SQL
Hands-on experience with ETL processes and large datasets
Knowledge of frameworks like LangChain or Langraph
Ability to design AI agents using RAG
Familiarity with AWS or major cloud platforms
Responsibilities:
Design, develop, and deploy data science solutions
Translate business challenges into scalable data products
Develop, evaluate, and deploy machine learning models
Explore and integrate new technologies like LLMs and AI agents
Ensure data quality and integrity across multiple sources
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Education Requirements:
BS/MS in Engineering, Science, or a related field
MS in Computer Science, Data Science, or related field
Experience Requirements:
3+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field
Other Requirements:
Proficiency in data science tools: Python and SQL
Ability to work independently and as part of a team
Travel domestically to customer sites as needed (up to 20% of working hours)
Fluency in Korean
Fluency in English
Responsibilities:
Design and implement customized AI solutions for manufacturing
Analyze manufacturing data to uncover opportunities and develop AI models
Collaborate with customers to understand their requirements and deliver clear, data-driven solutions
Work closely with our internal teams to ensure solutions are feasible, scalable, and aligned with product strategy
Present findings to both technical and non-technical stakeholders
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Education Requirements:
Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
Experience Requirements:
3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.
Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.
Other Requirements:
In-depth expertise in Transformer architectures and their applications beyond natural language processing.
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Solid mathematical foundation in statistics, optimization, and signal processing.
Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).
Responsibilities:
Design and implement Transformer-based architectures for time-series prediction and sequence modeling
Drive the full machine learning lifecycle—from exploratory data analysis to model deployment
Conduct rigorous benchmarking, ablation studies, and performance optimization
Collaborate closely with data scientists, engineers, and product managers
Partner with software engineers to scale and productize ML algorithms
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Other Requirements:
Exceptional abilities and the drive to make an impact
Responsibilities:
Build Quantum-Native AI to simulate complex systems
Tackle the intractability of complex chaos
Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction
Develop Quantum-ML Hybrids and High-Performance Research Engineering
Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering
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Other Requirements:
Exceptional abilities and the drive to make an impact
Responsibilities:
Build Quantum-Native AI to simulate complex systems
Tackle the intractability of complex chaos
Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction
Develop Quantum-ML Hybrids and High-Performance Research Engineering
Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering
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Other Requirements:
Exceptional abilities and the drive to make an impact
Responsibilities:
Build Quantum-Native AI to simulate complex systems
Tackle the intractability of complex chaos
Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction
Develop Quantum-ML Hybrids and High-Performance Research Engineering
Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering
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Other Requirements:
Exceptional abilities and the drive to make an impact
Responsibilities:
Build Quantum-Native AI to simulate complex systems
Tackle the intractability of complex chaos
Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction
Develop Quantum-ML Hybrids and High-Performance Research Engineering
Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering
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Other Requirements:
Exceptional abilities and the drive to make an impact
Responsibilities:
Build Quantum-Native AI to simulate complex systems
Tackle the intractability of complex chaos
Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction
Develop Quantum-ML Hybrids and High-Performance Research Engineering
Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering
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Other Requirements:
Exceptional abilities and the drive to make an impact
Responsibilities:
Build Quantum-Native AI to simulate complex systems
Tackle the intractability of complex chaos
Bridge causal gaps in Quantum Foundations: Adiabatic Annealing, Control Theory, & Error Correction
Develop Quantum-ML Hybrids and High-Performance Research Engineering
Research Neural Topology, Theoretical Neuroscience, and Neuromorphic Engineering
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