Education Requirements:

• Academic degree in a quantitative field (engineering, business, economics, finance, or math/statistics)

Experience Requirements:

• At least four years of relevant experience (Data Analyst, Insight Analyst, or Business Analyst)

• Strong analytical skills

• Proficiency in SQL

• Expertise in R or Python for data analysis

Other Requirements:

• Clear communication skills

Responsibilities:

• Leveraging data to drive decisions across the Retail sector

• Analyzing internal and external data

• Uncovering insights on customer behavior and store performance

• Collaborating with Retail stakeholders

• Formulating analyses for strategic initiatives

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Education Requirements:

• BS in Visual Computing, Computer Science, or related field industry or research experience with computer graphics and vision

Experience Requirements:

• Strong programming skills in C++ and Python, with a focus on writing efficient code.

• Experience in cloud platforms such as GCP, Azure, or AWS.

• Experience in 3D modeling and rendering software, e.g., Blender, Houdini, Maya.

• Experience or Proficiency in one(or more) of key aspects 3D animation and simulation techniques, including blendshapes, finite element methods, and surface deformation.

• Physically-based simulation methods for various types of deformations.

Other Requirements:

• Geometry modeling and processing, including working with point clouds, meshes, and volumes.

• 3D Rendering techniques, including rasterization, ray tracing, volumetric rendering, and shader programming.

• Experience with modern machine learning and deep learning methods toward computer vision and computer graphics applications.

• Experience working in collaborative teams comprising researchers, applied scientists, and platform developers.

Responsibilities:

• Working on one (or more) of key aspects below toward generating photorealistic digital human.

• Innovate and implement advanced animation and simulation techniques, including blend shapes animation, finite element simulation, and surface deformation.

• Apply physically-based simulation techniques to deformations of soft and rigid bodies, including vertex, surface, and volume deformations.

• Develop and enhance animation techniques, such as skinning, blendshapes, and forward and inverse kinematics.

• Employ state-of-the-art rendering techniques like realtime rasterization, ray tracing, bi-directional path tracing, dynamic lighting, and physics-based rendering development.

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Education Requirements:

• Bachelor or Masters Degree in Computer Science, Machine Learning and Computer Vision

Experience Requirements:

• Highly knowledgeable in numerical optimization and linear algebra

• 6+ years in deep learning network optimization

• 6+ years in large deep learning system development

• 3-5 years building and managing teams of engineers

• Expert in Python/Pytorch or Tensorflow

Other Requirements:

• 5+ years experience managing vendors and building scalable ML pipelines for image and video modalities with tools such as Flyte, Prefect, AirFlow, or Kubeflow

• Experience with various cloud data storage technologies on AWS, GCP, or Azure

• Excellent communication and interpersonal skills with team and cross functional partners

Responsibilities:

• Manage team of Machine Learning Engineers managing and executing data curation, labeling, annotation and deployment.

• Evaluate team members, their performance and production.

• Oversee and deliver large deep learning development systems for the ML Engineering team.

• Manage delivery of deep learning network optimization to include quantization, model parallelization, and model distillation.

• Manage and deliver high quality datasets for ML pipeline and manage successful delivery of ML pipeline for ML Model deployment.

Benefits:

• Competitive Compensation + Equity

• 401k Plan

• Medical, Dental, Vision Insurance

• Gear Stipend

• Professional Development Stipend

Benefits:

• Professional development

• Flat company structure

• Pioneering mindset of innovative people around

• Competitive and dynamic salary system

• Immediate insight into the efficiency of your contributions

Education Requirements:

• PhD or Master’s degree specialized in Deep Learning or equivalent experience

Experience Requirements:

• 8+ years of experience building deep learning models.

• Demonstrated expertise in deep learning techniques and models, particularly in generative models.

• Track record of leading and delivering research projects in live production environments.

• Extensive familiarity with state-of-the-art deep learning techniques in the Audio Domain, including Flow matching, Diffusion, GANs, VAEs, Vocoder, and related methodologies.

• Experience in patents or publications in top-tier peer-reviewed conferences or journals

Other Requirements:

• Excellent communication and interpersonal skills

Responsibilities:

• Manage research projects, ensuring timely completion.

• Collaborate with other teams to integrate AI technologies into real-world products.

• Provide strategic guidance to AI/ML research scientists and engineers.

• Develop and implement effective research strategies.

• Establish short and long-term research agendas.

Benefits:

• Remote first

• Work from home or your favorite coffee shop

• Paid time off

• Vacation on your own terms, paid by Cascade.

• Comprehensive benefits and health plans and perks.

Benefits:

• Remote-first team

• Personal learning budget

• Flexible days off

• Recharging budget

• Biannual company retreats and team gatherings

Education Requirements:

• Educational background in software engineering, computer graphics, computer vision, machine learning, AI, or related disciplines

Experience Requirements:

• 4+ years of experience working with Computer Vision and Deep Learning

• Broad knowledge of the games industry and expertise in applying technology to creative tools, art creation, and 3D/mesh workflows

• Proficiency in writing code, particularly in Python

• Past projects that demonstrate experience, such as research papers, demos, or products

Other Requirements:

• Product-focused mindset

Responsibilities:

• Applying generative AI for 3D content creation and shipping it as part of the product

• Collaborating closely with 3D artists and engineers to iterate and improve solutions

• Inspiring innovation and coming up with creative and useful applications of AI to enhance the product

Benefits:

• Growth & Opportunities

• Learning & Development

• Rewards & Recognition

• Parties & Celebrations

• Health & Well-being

Experience Requirements:

• 5+ Years

Benefits:

• Growth & Opportunities

• Learning & Development

• Rewards & Recognition

• Parties & Celebrations

• Health & Well-being

Experience Requirements:

• 6-9 Years

Education Requirements:

• Master's degree in Computer Science, Mathematics, or a related field

Experience Requirements:

• 3+ years of experience working with computer vision models

Other Requirements:

• Proficiency in Python and experience with deep learning frameworks like PyTorch

• Generative experience

• Publications or contributions to the adversarial or computer vision AI community

Responsibilities:

• Develop state-of-the-art models and techniques

• Conduct research on adversarial attack and defense techniques

• Collaborate with team members

• Help with the research and development of new generative vision pipelines

Education Requirements:

• PhD in physics/applied mathematics

Experience Requirements:

• 3 years experience in designing deep learning algorithms

Other Requirements:

• Programming experience in C, C++ or Python/Numpy. Fortran is a plus

• Ability to think creatively and innovate

• Strong verbal and written communication skills

• Experience leading technical teams

Responsibilities:

• Work at the intersection of deep learning and physical modelization of natural processes

• Bring your knowledge of partial differential equations, thermodynamics, information theory and applied mathematics to modeling new generation AI-based meteorology systems

Benefits:

• Medical | Dental | Vision

• 401(k) matching

• Emotional Wellness Support

• Paid Time Off

• Paid Parental Leave

Other Requirements:

• Previous on-air experience handling breaking news and severe weather coverage

• In-depth knowledge of weather science and forecasting

• Dynamic on-air presence with a conversational weather presentation

• Knowledgeable about how to interpret and translate high powered radar data

• Proficient in using baron’s and or WSI graphics and technology

• NWA and CBM seals are a plus

• Related military experience will be considered

• Bilingual a Plus

Responsibilities:

• Get viewers ready with accurate, compelling, and understandable weather forecasts

• Provide immediate weather information before and during severe weather event

• Provide content on TV, for our radio partners, and on our digital platforms

• Use all the latest technology available to us, to tell an intriguing weather story

Benefits:

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Education Requirements:

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline

• Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date

Experience Requirements:

• 5 + years exp

• At least 1 year of experience in at least one scripting language

• At least 1 year of experience utilizing a business intelligence visualization tool

• At least 1 year of experience in querying and analyzing and working with data languages and platforms

Other Requirements:

• Scripting experience in (Python, R, Spark, and SQL)

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

Responsibilities:

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

Education Requirements:

• A PhD or MSc. in Mathematics, Computer Science, Statistics, Operations Research, Physics or Engineering from top universities

Other Requirements:

• An excellent problem-solver with critical thinking skills;

• Highly proficient in Python;

• Familiar with Non-convex Optimization and have hands-on experience with techniques like simulated annealing, linear programming etc.

• Experience with 2D and 3D computational geometry is a big advantage.

• Experience in Machine-Learning or other Data Mining technologies - advantageous.

• Our algorithms span many disciplines so we realize you may not be familiar with all of them

Benefits:

• Comprehensive health, dental, and vision insurance

• A modern office environment

• Industry events

Experience Requirements:

• Minimum of 5 years of hands-on experience in machine learning model development

Other Requirements:

• Expertise in fine-tuning, reinforcement learning, and prompt-engineering techniques

• Experience in working with multimodal or vision models

• Ability to communicate complex research findings in a clear and impactful manner

• A knack for solving problems creatively and effectively

Responsibilities:

• Lead cutting-edge research in AI & Agents, focusing on breakthroughs in long-term memory, reliability, planning, reasoning, and embodied AI, and transition these innovations into production and running models on device

• Spearhead and implement the latest research ideas and ship them to production, focusing on on-device LLMs & fast model inference to enhance AI agent capabilities and account for user privacy & security

• Collaborate with our product and engineering teams to transform research insights into practical, impactful solutions

• Stay abreast of the latest advancements in AI, especially around local models, LLMs, fine-tuning techniques, and inference and optimization

• Employ rigorous testing and iterative improvement processes to optimize enhance the model performance and reliability

Benefits:

• Be at the cutting edge of generative AI technology

• Enjoy the perks of full remote work and flexible hours

• Learn from top-tier leadership

• Join our dynamic, international team

• Chart a clear career trajectory

Education Requirements:

• Master's degree in Computer Science, AI, Deep Learning, or related field

Experience Requirements:

• Minimum 5 years of industry experience

Responsibilities:

• Develop and enhance note-creation processes

• Build interfaces for clinical researchers

• Design and conduct experiments

• Implement and refine Question Answering and Knowledge Retrieval technologies