Sr. Simulation & Game Engine Engineer (Robotics)
Serve Robotics$170,000 - $220,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Robotics, Machine LearningIndustries
Requirements
- Bachelor’s degree or equivalent practical experience
- 2+ years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
- Experience with production data systems and quality projects
- C++ and Python programming experience
- Experience in data analysis, debugging, experiment design and evaluation
- Strong problem-solving skills
Responsibilities
- Design and implement large scale data acquisition, processing and curation pipelines, assuming end-to-end ownership over the full lifecycle of high quality datasets for training advanced robotics foundation models
- Systematically improve data quality by performing sophisticated data analysis, debugging and experiments, developing metrics, tests and monitoring mechanisms, which directly contribute to ML model improvements
- Develop, improve large scale data pipeline infrastructure and tooling. Improve system reliability, usability and scalability, data safety and security over the full data lifecycle
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key requirements for this Software Engineer role?
Candidates need a Bachelor’s degree or equivalent, 2+ years of software development experience in one or more programming languages (or 1 year with an advanced degree), experience with production data systems and quality projects, C++ and Python programming, data analysis, debugging, experiment design, evaluation, and strong problem-solving skills.
What experience would give me an advantage for this position?
Advantages include experience with production ML-oriented systems or applications, working with very large datasets using Google data infrastructure like Flume and PLX, and industry experience in robotics or automation.
What is the salary or compensation for this role?
This information is not specified in the job description.
Is this position remote or does it require office work?
This information is not specified in the job description.
What kind of person thrives in this role at Google DeepMind?
The ideal candidate is a multi-disciplinary, hands-on engineer with deep curiosity, willingness to stretch and learn, who embraces risks, has a healthy disregard for the status quo, and is passionate about all aspects of data, ready to tackle hairy problems.
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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