Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Education Requirements:

• High school diploma or equivalent work experience

Experience Requirements:

• Strong technical knowledge and hands-on experience with computer networks, peripherals, and operating systems

• Excellent problem-solving and analytical skills

• Strong communication and interpersonal skills

• Ability to work independently and as part of a team

• Experience with remote desktop support tools

Other Requirements:

• Certifications in relevant IT fields are a plus

• Experience in a fast-paced small to medium sized environment

• Working knowledge of Windows, macOS, printers, networking, and antivirus

Responsibilities:

• Provide first-line support to end-users facing issues with hardware, software, networking, and other computer-related technologies

• Collaborate with IT staff on complex issues

• Provide user training and support for common software applications

• Handle problem recognition, research, isolation, resolution, and follow-up for routine user problems

• Log all help desk interactions and guide users through problem-solving processes

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• Stock Options

Experience Requirements:

• strong experience working on the backend of a technology product

• comfortable working in a team that deals with ambiguity

• interested in writing high impact software

• enjoy mentoring and guiding more junior engineers

• some experience with python

Other Requirements:

• interested in the AI space or film industry

Responsibilities:

• Develop and maintain our products, written in Python, conforms with Flawless-wide coding and testing standards.

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Understand and recommend opportunities for improvement within the team and wider business.

• Deliver product features and solve Large scope engineering challenges.

• Break down and define large sized engineering problems in collaboration with other engineers.

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.