Benefits:

• Remote work

• Team events

• Personal and professional growth

• Private medical insurance

• Learning budget

Benefits:

• Competitive benefits package

• Significant opportunities for professional growth

• Friendly and innovative startup environment

Experience Requirements:

• Minimum of 5 years of experience in research and development

Other Requirements:

• Excellent project management skills with the ability to meet deadlines and prioritize tasks

• Strong written and verbal communication skills

• Proficiency in computer applications such as word processing, spreadsheets, and databases

• Proven ability in data collection, analysis, and interpretation

• Strong problem-solving and critical thinking abilities

Responsibilities:

• Discover new channels and partnerships to advance product development

• Stay informed about industry trends and provide professional insights

• Lead product production strategy to ensure innovation and growth

• Collaborate with various teams, including developers and the product team, to drive innovation

• Effectively communicate research results and experimental protocols to other teams

Benefits:

• Competitive Salary 💸

• Work Remotely 🌎

• Health insurance 🏥

• Unlimited Time Off ⏰

• Support for continual learning (free books and online courses) 📚

Education Requirements:

• A Master's/MS in CS, Machine Learning, or in a highly quantitative field.

• At least two publications, as the first author, in a leading conference or journal related to machine learning

Experience Requirements:

• 4+ years of total Industry experience

• 4+ years of hands-on experience (academic or industrial) in predictive modeling and large data analysis

Responsibilities:

• design and implement a generic ML platform that helps monitor models across modalities in production

• collaborate with the research and development teams to build robust ML and big data monitoring platforms

Benefits:

• Competitive Salary 💸

• Work Remotely 🌎

• Health insurance 🏥

• Unlimited Time Off ⏰

• Support for continual learning (free books and online courses) 📚

Experience Requirements:

• Strong programming skills in Python.

• Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)

• Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)

• Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn

Responsibilities:

• Work on large-scale machine learning challenges that impact millions of people around the globe

• Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time

• Implementing fast, scalable solutions with optimal performance day in and out

• Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle

• Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Research and development for various fundamental algorithms

• Analyze and interpret healthcare data

• Develop and improve AI models

Benefits:

• Pension contributions

• Health insurance

• Enhanced parental support

• Development opportunities

Benefits:

• Pension contributions

• Health insurance

• Enhanced parental support

• Development opportunities

Benefits:

• Strong technical culture of continuous innovation and improvement

• Flexible holidays & Insurance for you and your loved ones

Experience Requirements:

• 6+ years of strong experience in data mining, machine learning and statistical analysis

• Experience in productizing models to code in fast paced start-up environment

Other Requirements:

• Fluency in tools such as Python, Jupyter Lab / Notebook and libraries such as scikit-learn, pandas, plotly, numpy, keras, etc.

• Experience of interfacing with popular frontends and back-end built in Python

• Strong intuition for data and keen aptitude on large scale data analysis

• Strong communication and collaboration skills

• Exposure to clean energy solutions in solar, wind and energy storage would be preferred but is not essential. Exposure to time-series data and analysis would be preferred.

• Passionate about a clean energy future

• Innovative – you challenge the status quo and find creative solution to problems

• Resilient – you enjoy meeting challenges head on and persist till we find a scalable solution

• Data driven – you understand the importance of data in decision making

• Methodical and team player

Responsibilities:

• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data.

• Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches.

• Productize proven or working models into production quality code

• Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions

• Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Competitive compensation

• Flexible work arrangements

• Growth opportunities

• Collaborative team

Responsibilities:

• Conducting research and providing support to writers

Benefits:

• Competitive salary, benefits and stock options.

• 401(k) plan for employees.

• Comprehensive health, dental, and vision insurance.

• The latest and best office equipment

Experience Requirements:

• Strong mathematical and statistical background with deep insights into machine learning algorithms.

• Familiar with deep learning models (ResNet, Transformer, etc.) and generative AI algorithms (Diffusion, GAN, VAE, Flow-based models, etc.).

• Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch.

• Experience in model training and performance optimization

Other Requirements:

• 3+ years of practical work experience in AI, with hands-on development experience.

• Experience of multimodal training such as 3D, video generation, or computer vision methods.

• Contributions to popular open-source machine learning projects.

• Publications in top-tier AI/ML/CV conferences

Responsibilities:

• innovate and build our core 3D foundation models

• tackle challenging algorithm design problems

Benefits:

• Competitive salary and equity package

• Comprehensive health, dental, and vision insurance

• Unlimited vacation and paid time off policies

• Flexible and dynamic work environment with opportunities for occasional remote work

• Opportunity to work alongside a talented team of engineers and innovators

Education Requirements:

• PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent experience

Experience Requirements:

• Minimum of 7 years of experience in AI research with a strong focus on deep learning, generative models, and large language models

Responsibilities:

• Lead the development, implementation, and continuous improvement of cutting-edge AI and machine learning models

• Apply the latest research and industry framework advances

• Act as a productive individual contributor

• Enhance fine tuning models using private customer data turnkey

• Research, experiment, and define the approach for extending the product capabilities using agents

Benefits:

• Competitive salary

• Stock options

• Flexible paid time off

• International team offsites

• No wasteful meetings

Education Requirements:

• Master's or Ph.D. degree in Computer Science, Machine Learning, or related field

Experience Requirements:

• Computer Vision, Pattern Recognition, Neural Networks, and Algorithms skills

• Strong background in Computer Science

• Proficiency in applying statistical methods

• Experience in developing and implementing machine learning models

• Experience in developing and implementing generative sequential and computer vision models

Responsibilities:

• developing multi-modal (audio and video) models for human avatars

• working with neural networks

• analyzing statistics

• designing efficient algorithms

• Ensure the quality and consistency of AI-generated content through rigorous testing and evaluation

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 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