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Research Scientist Intern, Machine Learning, Human Motion Models (PhD)
Zurich, Switzerland
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Parental leave program
•Health, dental, and vision coverage
•Top Tier compensation with equity
•Annual team offsites
•Learning and development stipend
•Flexible PTO policy
Required Skills
Python
SQL
Apache Spark
The Reality Labs (RL) Research team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, working at the intersection of Computer Vision, Computer Graphics, and Machine Learning. The Virtual Humans team in Zurich, CH works on cutting-edge research and development focusing on virtual people and presence. Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Topics:* Character animation synthesis, editing, retargeting, and stylization* Human motion reconstruction, estimation, and analysis* Human-scene interaction understanding and modelling* Efficient and realistic physics simulation of human motion* Novel input and interfaces for human motion synthesis, control, and editing* Evaluation of avatar systems
Research Scientist Intern, Machine Learning, Human Motion Models (PhD) Responsibilities:
- Prototyping, building, and analysis of novel research ideas
- Design and execution of algorithms, planning and analysis of experiments
- Collaboration with and support of other researchers across various disciplines
- Communication of research agenda, progress and results
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a PhD in Computer Vision, Computer Graphics, Robotics, Machine Learning, Human-Computer Interaction, or related fields
- Understanding of machine learning, 3D geometry, optimization, and system building
- Experience with deep learning frameworks like Py Torch
- Interpersonal skills: cross-group and cross-culture collaboration
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Intent to return to degree-program after the completion of the internship
- 2+ years experience in one or more of the following areas: human motion synthesis, editing, and retargeting - human motion perception, reconstruction, and analysis - generative modelling of human motion - reinforcement learning
- Proven track record of achieving results as demonstrated in accepted papers at top vision, graphics, robotics related journals and conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, etc
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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