Sr. ML Research Scientist
Serve Robotics$175,000 - $205,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, RoboticsIndustries
Requirements
- PhD in a technical field or equivalent practical experience
- Knowledge of the latest in large machine learning research
Responsibilities
- Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities
- Write software to implement research ideas and iterate quickly
- Leverage your expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more
- Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals
- Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Research Scientist, Robotics position?
The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Is this Research Scientist role remote or office-based?
This information is not specified in the job description.
What are the key qualifications required for this Research Scientist position?
A PhD in a technical field or equivalent practical experience is required, along with knowledge of the latest in large machine learning research.
What is the team structure like for this robotics research role?
Research Scientists work in large collaborative teams with fast-paced agendas, including diverse multi-functional teams to advance Robotics AI.
What experience would make me a strong candidate for this role?
Experience working with simulators and real-world robots, expertise in using large datasets with deep neural networks to make real robots useful, and a real passion for AI impacting real world robots would be advantages.
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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