Research Scientist Internship - Face Perecption
Status
Santa Monica, USA
Full time
Hybrid
Compensation is not specified
Role
Data Scientist
Description
Flawless is a forefront AI company revolutionizing the entertainment industry with innovative Gen AI film editing tools. We are dedicated to empowering filmmakers by offering cutting-edge technology that enables limitless creativity, expands storytelling capabilities, and delivers exceptional visual and emotional experiences. Additionally, our commitment to ethical AI is reflected in the development of the Artistic Rights Treasury (A.R.T.), a rights management solution safeguarding artists and rights holders in the Entertainment landscape.
About the Role
You will be part of our Research team as a Research Scientist Intern, focusing on face perception. This position is well-suited for a highly motivated individual with a background in scene perception, human face and motion tracking in videos, and scene interpretation. Your primary responsibility will involve independent research and the development of pioneering algorithms to process video content, particularly related to human detection for enhancing AI-powered filmmaking tools.
Key Responsibilities
- Conduct independent research on face detection and motion tracking algorithms.
- Design and implement models to accurately identify human faces in challenging scenarios.
- Integrate cutting-edge advancements in disciplines such as human body/face detection and 2D/3D motion tracking.
- Collaborate with a multidisciplinary team to implement research findings into production tools.
- Stay up-to-date with academic and industry advancements to contribute to internal knowledge sharing.
- Create technical documentation and support potential publications and patents.
Required Qualifications
- Currently pursuing a PhD or advanced graduate degree in Computer Vision, Machine Learning, Graphics, or a related field.
- Demonstrated research experience with published work showcased in esteemed conferences.
- Proficiency in face detection, head pose tracking, and motion tracking technologies.
- Hands-on experience in model development, especially in image or video synthesis.
- Familiarity with Python and deep learning frameworks like PyTorch or TensorFlow.
- Strong grasp of linear algebra, numerical optimization, and deep learning principles.
- Previous involvement in human body/face keypoint detection at an advanced level.
- Bonus: Knowledge of cloud platforms for large-scale training and experience with real-time rendering engines.
The compensation for this position ranges from $6,200 to $7,000 per month.
Interview Process
Our interview process aims to understand your capabilities in alignment with the role. The four-round process includes informal discussions allowing us to get to know each other better, along with technical assessments:
- Recruiting Screen: Initial call to discuss your background, motivations, and fit for the position.
- Hiring Manager Screen: Zoom interview with the Research Engineer to evaluate your technical expertise.
- Coding Interview: Live coding assessment to gauge your programming skills.
- Domain Depth AI/ML: Onsite interview focusing on your experience in deep learning and machine learning.
- Behavioral Interview: Meeting with senior leaders to understand your collaboration skills.
Why Join Us
At Flawless, you'll experience an environment built on trust, autonomy, and collaboration. You will have the opportunity to contribute to a growing company during a transformative stage and help shape its future. Additionally, you will enjoy benefits such as autonomy, a hybrid work setup, competitive salary, and stock options.
Flawless is dedicated to fostering an inclusive workplace where everyone can thrive. We are committed to offering equal employment opportunities, irrespective of various factors, to ensure a safe and welcoming environment for all.
Skills Required
Flawlessdevstudio
Website
flawlessdev.comCompany size
Not specified
Location
United States
Description
Not specified
Status
Peeter Luik
Software Developer
Part time
Remote
I’m actively looking for a native Russian speaker who can expertly conduct or participate in job interviews—especially those requiring strong communication, technical understanding, and professional presence. This person should feel at ease discussing software engineering, or related topics, while also being able to assess a candidate’s clarity, depth, and overall fit. If you’re a fluent Russian speaker with the confidence and experience to shine in a technical interview setting, I’d be excited to connect and explore the opportunity with you.
Payment in Crypto
Frank Ralph
Architect designers
Sydney, Australia
Sydney, Australia
Part time
Remote
AutoCAD
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Payment in Crypto
Gabenius
Full-time Hackintosh iOS development
Full time
Hybrid
We are currently seeking a skilled professional to join our team as a Full-time Hackintosh iOS Developer. In this role, you will be responsible for developing iOS applications for our Hackintosh platform. The ideal candidate will have a strong background in Web, Mobile, and Software Development, Engineering & Architecture, Customer Service, and Accounting and Consulting Specialist.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Payment in Crypto
Nahclimited
Senior Backend Engineer (Golang)
Singapore
Singapore
Full time
Office
Our client is in search of an experienced Backend Engineer to play a key role in developing high-performance, cloud-native infrastructure that supports research, trading, and data pipelines. This position is pivotal in facilitating real-time data ingestion and processing workflows and ensuring the systems are equipped to handle the demands of a high-uptime, low-latency trading environment.
Responsibilities:
Lead the development of robust, high-performance backend systems in Go for real-time data processing and low-latency workflows.
Promote engineering excellence by upholding code quality, implementing best practices, and guiding fellow team members.
Collaborate closely with trading, product, and infrastructure teams to comprehend system requirements and deliver efficient solutions.
Take charge of production services to guarantee reliability, observability, and performance optimization. Enhance systems performance, stability, reliability, and security.
Contribute to infrastructure automation and improvements in CI/CD to facilitate quick deployment and operational flexibility.
Conduct detailed code reviews, drive technical conversations, and influence engineering norms and practices.
Implement automated testing, CI/CD pipelines, and actively engage in code reviews and design dialogues.
Deploy and oversee services utilizing cloud-native tools and practices.
Monitor, troubleshoot, and debug production systems and participate in the on-call incident response team within a high-uptime setting.
Requirements:
Over 5 years of backend development experience, with at least 3 years involving Go in production-grade systems.
Proficiency in leading large-scale system design and mentoring engineers in best practices.
Thorough knowledge of concurrency, memory management, and performance optimization in Go.
Demonstrated expertise in devising and deploying microservice architectures in high-availability, high-throughput environments.
Sound understanding of message queues, event-driven architectures, and asynchronous processing.
Strong grasp of microservice architecture and REST/gRPC APIs.
Proficient in networking data transmission protocols such as TCP, UDP, WSS, etc.
Experience in developing and deploying cloud-native applications.
Familiarity with containerization technologies like Docker and orchestration engines (e.g., ECS, Kubernetes).
Proficient in message brokers (e.g., Kafka) and distributed systems.
Knowledge of data storage technologies including PostgreSQL, Redis, and time-series databases.
Responsibilities:
Lead the development of robust, high-performance backend systems in Go for real-time data processing and low-latency workflows.
Promote engineering excellence by upholding code quality, implementing best practices, and guiding fellow team members.
Collaborate closely with trading, product, and infrastructure teams to comprehend system requirements and deliver efficient solutions.
Take charge of production services to guarantee reliability, observability, and performance optimization. Enhance systems performance, stability, reliability, and security.
Contribute to infrastructure automation and improvements in CI/CD to facilitate quick deployment and operational flexibility.
Conduct detailed code reviews, drive technical conversations, and influence engineering norms and practices.
Implement automated testing, CI/CD pipelines, and actively engage in code reviews and design dialogues.
Deploy and oversee services utilizing cloud-native tools and practices.
Monitor, troubleshoot, and debug production systems and participate in the on-call incident response team within a high-uptime setting.
Requirements:
Over 5 years of backend development experience, with at least 3 years involving Go in production-grade systems.
Proficiency in leading large-scale system design and mentoring engineers in best practices.
Thorough knowledge of concurrency, memory management, and performance optimization in Go.
Demonstrated expertise in devising and deploying microservice architectures in high-availability, high-throughput environments.
Sound understanding of message queues, event-driven architectures, and asynchronous processing.
Strong grasp of microservice architecture and REST/gRPC APIs.
Proficient in networking data transmission protocols such as TCP, UDP, WSS, etc.
Experience in developing and deploying cloud-native applications.
Familiarity with containerization technologies like Docker and orchestration engines (e.g., ECS, Kubernetes).
Proficient in message brokers (e.g., Kafka) and distributed systems.
Knowledge of data storage technologies including PostgreSQL, Redis, and time-series databases.
Nahclimited
Senior Backend Engineer (Golang)
Hong Kong
Hong Kong
Full time
Office
Our client is looking for an experienced Backend Engineer to play a key role in developing high-performance, cloud-native infrastructure to support research, trading, and data pipelines. The focus is on enabling real-time data ingestion and processing workflows within a high-uptime, low-latency trading environment.
Responsibilities
Lead the creation of strong high-performance back-end systems utilizing Go for real-time data processing and low-latency workflows. Promote engineering excellence by upholding code quality, best practices, and mentoring team members. Collaborate closely with trading, product, and infrastructure teams to comprehend system requirements and provide efficient solutions. Take responsibility for production services, ensuring reliability, observability, and enhancing performance. Optimize system performance and ensure system stability, reliability, and security. Contribute to infrastructure automation and enhancements in CI/CD for swift deployment and operational flexibility. Conduct thorough code reviews, guide technical discussions, and influence engineering culture and standards. Implement automated testing, CI/CD pipelines, and contribute to code reviews and design dialogues. Deploy and manage services employing cloud-native tools and practices. Monitor, debug, and resolve issues in production systems, and be part of the on-call incident response team for a high-uptime setting.
Requirements
Minimum of 5 years of backend development expertise, including at least 3 years working with Go in production systems. Experience in leading large-scale system design and coaching engineers on engineering best practices. Solid understanding of concurrency, memory management, and optimizing performance in Go. Demonstrated experience in designing and deploying microservice architectures in high-throughput, highly available environments. Comprehensive knowledge of message queues, event-driven architectures, and asynchronous processing. Strong grasp of microservice architecture and REST/gRPC APIs. In-depth understanding of networking data transmission protocols such as TCP, UDP, WSS, etc. Experience developing and deploying cloud-native applications. Familiarity with containerization technologies like Docker and orchestration engines such as ECS and Kubernetes. Proficiency in working with message brokers like Kafka and distributed systems. Knowledge of data storage technologies like PostgreSQL, Redis, and time-series databases.
Responsibilities
Lead the creation of strong high-performance back-end systems utilizing Go for real-time data processing and low-latency workflows. Promote engineering excellence by upholding code quality, best practices, and mentoring team members. Collaborate closely with trading, product, and infrastructure teams to comprehend system requirements and provide efficient solutions. Take responsibility for production services, ensuring reliability, observability, and enhancing performance. Optimize system performance and ensure system stability, reliability, and security. Contribute to infrastructure automation and enhancements in CI/CD for swift deployment and operational flexibility. Conduct thorough code reviews, guide technical discussions, and influence engineering culture and standards. Implement automated testing, CI/CD pipelines, and contribute to code reviews and design dialogues. Deploy and manage services employing cloud-native tools and practices. Monitor, debug, and resolve issues in production systems, and be part of the on-call incident response team for a high-uptime setting.
Requirements
Minimum of 5 years of backend development expertise, including at least 3 years working with Go in production systems. Experience in leading large-scale system design and coaching engineers on engineering best practices. Solid understanding of concurrency, memory management, and optimizing performance in Go. Demonstrated experience in designing and deploying microservice architectures in high-throughput, highly available environments. Comprehensive knowledge of message queues, event-driven architectures, and asynchronous processing. Strong grasp of microservice architecture and REST/gRPC APIs. In-depth understanding of networking data transmission protocols such as TCP, UDP, WSS, etc. Experience developing and deploying cloud-native applications. Familiarity with containerization technologies like Docker and orchestration engines such as ECS and Kubernetes. Proficiency in working with message brokers like Kafka and distributed systems. Knowledge of data storage technologies like PostgreSQL, Redis, and time-series databases.