Primary Responsibilities:
Generative AI is such a new field that best practices and recommendations arent fully developed so we can experiment and learn a lot. That being said heres what has worked for us so far:
- Utilize your expertise to develop new agent architectures design and manage data pipelines run evaluations and propose solutions to enhance output quality.
- Embrace uncertainty with confidence by prioritizing meaningful machinelearning experiments that enhance our products.
- Take the initiative to lead projects collaboratively ensuring they flourish from inception to completion.
- Design monitor and analyse experimental results efficiently.
- Document findings thoroughly conduct ablation studies and effectively transform data into actionable insights.
- Collaborate with crossfunctional teams to deliver product features on time across organizations product stack.
- Ship with high intent and work with the team to improve your ability to iterate and ship AIpowered features over time.
Candidate Requirements:
- 5 years of experience in AI/ML research and development.
- Masters or Bachelors degree in Computer Science AI Machine Learning or a related field.
- Have expertise in improving out models and building evaluations for model capability improvement.
- Handson experience with LLMs Transformer models and generative AI techniques
- Have working experience in retrieval systems inference engines.
- Have the ability to design and run ML research experiments engineer prototypes and build infrastructure and tooling for processing data.
- Strong programming skills in Python and knowledge of ML libraries like Scikitlearn LLM Model API or LLM frameworks
- Have a validate first and perfect later mentality and are curious about how things work inside the hood.
- Are selfdriven selfmotivated able to work independently and in a team
- Published work at top conferences such as ICLR ICML NeurIPS ACL and EMNLP.
- Opensource projects.