N
2 months ago
Job Summary
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. As a remote first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a huge impact on our product and our company.
- Minimum Qualification : Degree
- Experience Level : Mid level
- Experience Length : 3 years
Job Description/Requirements
Responsibilities:
- Improve our existing machine learning systems using your core coding skills and ML knowledge
- Identify new opportunities to apply machine learning to different parts of the Quora product
- Work with other machine learning engineers to implement algorithms and systems in an efficient way
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
Minimum Requirements:
- Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- Demonstrated professional experience in software development and machine learning
- 3+ years of professional experience working on natural language processing, language modeling, etc
- Solid understanding of mathematical foundations of machine learning algorithms
- Previous experience building end to end machine learning systems
- BS, MS or PhD in Computer Science, Engineering or a related technical field
Preferred Requirements:
- Flexible and positive team player with outstanding interpersonal skills
- 3+ years of experience writing Python or C++ code
- Proven track record of delivering NLP models to solve industry-scale problem
- Experience with transformer models
- Experience with leading large-scale multi-engineer projects
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