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Research Scientist -Human Understanding (Physiology,Activity,State) on Wearables

Meta

Research Scientist -Human Understanding (Physiology,Activity,State) on Wearables

Meta

Zurich, Switzerland

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Team events and activities

Professional development budget

Flexible work arrangements

401(k) matching

Equity

Learning

Flexible Hours

Required Skills

TypeScript

React

JavaScript

We are building a team focusing on personal multi-agent systems, that will go out in the world and act on our behalf. The team covers a broad range of topics, including cooperative and social LLM agents, multi-agent planning and reasoning, self-improvement and evolutionary techniques, multi-agent reinforcement learning, human-agent collaboration, simulation environments and tool use.

Research Scientist -Human Understanding (Physiology,Activity,State) on Wearables Responsibilities:

  • Conduct applied research to advance the state of the art in Language / Multimodal Models and Agentic systems
  • Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes
  • Collaborate with different cross-functional teams across the globe in research and product

Minimum Qualifications:

  • PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning, robotics, large language models and/or computer vision
  • Proven development skills in Deep Learning, working with Py Torch or Tensor Flow
  • Experience developing LLM algorithms or infrastructure in Python or C/C++
  • First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH

Preferred Qualifications:

  • Industry experience in building and deploying sensing systems
  • Proven development skills in digital signal processing

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

Meta

Public

A 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