Sr. Machine Learning Research Engineer
Skills
Computer ScienceArtificial IntelligenceBenchmarkingCompetitive ProgrammingData ScienceDesign EvaluationEmerging Trends
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Advanced degree in Computer Science or related field required.
- Strong emphasis on LLMs and natural language processing experience.
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Passion for staying current with emerging trends and technologies in machine learning.
Nice to have
- Experience in benchmarking ML models
- Familiarity with coding challenges
- Published research in relevant fields
Day to day
- Develop and implement a benchmark for assessing LLMs on coding challenges.
- Conduct research and experiments to evaluate the performance of various LLMs.
- Prepare and design evaluation metrics and methodologies.
- Collaborate with cross-functional teams to ensure seamless integration of the benchmark into broader data commercialization strategy.
- Stay abreast of machine learning and LLM advancements to ensure benchmarks and models remain cutting-edge.
- Contribute to the development and deployment of state-of-the-art machine learning models.
Hiring process
- Email application to official company recipient
- Initial video interview
